Triple
T17824430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cergy |
E445075
|
entity |
| Predicate | hasEducationalInstitution |
P113
|
FINISHED |
| Object |
EISTI
EISTI is a French engineering school specializing in computer science, applied mathematics, and data science, historically based in Cergy.
|
E1289356
|
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: EISTI | Statement: [Cergy, hasEducationalInstitution, EISTI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EISTI Context triple: [Cergy, hasEducationalInstitution, EISTI]
-
A.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
B.
Eisten
Eisten is a small Swiss municipality located in the canton of Valais.
-
C.
EINN
EINN is the ICAO airport code for Shannon Airport, a major international airport in County Clare, Ireland.
-
D.
EIS
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
-
E.
EIS
EIS is the three-letter IATA airport code for Terrance B. Lettsome International Airport serving the British Virgin Islands.
- 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: EISTI Triple: [Cergy, hasEducationalInstitution, EISTI]
Generated description
EISTI is a French engineering school specializing in computer science, applied mathematics, and data science, historically based in Cergy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EISTI Target entity description: EISTI is a French engineering school specializing in computer science, applied mathematics, and data science, historically based in Cergy.
-
A.
EIT
EIT is a European Union body that fosters innovation, entrepreneurship, and education by integrating business, research, and higher education institutions across Europe.
-
B.
Eisten
Eisten is a small Swiss municipality located in the canton of Valais.
-
C.
EINN
EINN is the ICAO airport code for Shannon Airport, a major international airport in County Clare, Ireland.
-
D.
EIS
EIS is a German vehicle registration code assigned to the Saale-Holzland district in the state of Thuringia.
-
E.
EIS
EIS is the three-letter IATA airport code for Terrance B. Lettsome International Airport serving the British Virgin Islands.
- 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.