Triple
T17824429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cergy |
E445075
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object |
ENSEA
ENSEA is a French grande école of engineering specializing in electronics and related fields, located in Cergy.
|
E1289355
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ENSEA | Statement: [Cergy, hasEducationalInstitution, ENSEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENSEA Context triple: [Cergy, hasEducationalInstitution, ENSEA]
-
A.
Ecomare
Ecomare is a nature museum and seal sanctuary on the Dutch island of Texel that focuses on the Wadden Sea, North Sea, and regional marine wildlife and conservation.
-
B.
Ekoi
Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
-
C.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
D.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
E.
SEAS
SEAS is the abbreviation for the Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University's engineering and applied sciences school.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ENSEA Triple: [Cergy, hasEducationalInstitution, ENSEA]
Generated description
ENSEA is a French grande école of engineering specializing in electronics and related fields, located in Cergy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ENSEA Target entity description: ENSEA is a French grande école of engineering specializing in electronics and related fields, located in Cergy.
-
A.
Ecomare
Ecomare is a nature museum and seal sanctuary on the Dutch island of Texel that focuses on the Wadden Sea, North Sea, and regional marine wildlife and conservation.
-
B.
Ekoi
Ekoi are an ethnic group of southeastern Nigeria and western Cameroon known for their rich artistic traditions, especially elaborate masks and skin-covered sculptures.
-
C.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
D.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
E.
SEAS
SEAS is the abbreviation for the Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University's engineering and applied sciences school.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff69f02c81908a7b6b8b564cceec |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03000abe908190a4f4835f348aa544 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.