Triple
T12784688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre for European Legal Studies |
E305593
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CELS
CELS is a research and teaching centre focused on European law and legal integration, typically associated with a university law faculty.
|
E1002366
|
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: CELS | Statement: [Centre for European Legal Studies, abbreviation, CELS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CELS Context triple: [Centre for European Legal Studies, abbreviation, CELS]
-
A.
CELC
CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
-
B.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
C.
CELARG
CELARG is a Venezuelan cultural and research institution dedicated to promoting Latin American literature, thought, and the legacy of writer Rómulo Gallegos.
-
D.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
E.
Celle line
The Celle line was a cadet branch of the House of Brunswick-Lüneburg that ruled the Principality of Lüneburg from the town of Celle in early modern Germany.
- 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: CELS Triple: [Centre for European Legal Studies, abbreviation, CELS]
Generated description
CELS is a research and teaching centre focused on European law and legal integration, typically associated with a university law faculty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CELS Target entity description: CELS is a research and teaching centre focused on European law and legal integration, typically associated with a university law faculty.
-
A.
CELC
CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
-
B.
Cel
Cel is an Etruscan goddess associated with the earth and the underworld in ancient Italic religion.
-
C.
CELARG
CELARG is a Venezuelan cultural and research institution dedicated to promoting Latin American literature, thought, and the legacy of writer Rómulo Gallegos.
-
D.
Cellese
Cellese is a regional dialect of the Franco-Provençal language traditionally spoken in a specific area of the Franco-Provençal linguistic region.
-
E.
Celle line
The Celle line was a cadet branch of the House of Brunswick-Lüneburg that ruled the Principality of Lüneburg from the town of Celle in early modern Germany.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5cb3c08190b8e1e22de8b96e17 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68504c95081909dc52cc02e43e8ba |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f687fffe9c81909c58129162a0c231 |
completed | May 2, 2026, 11:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f688cc57048190ba7bacdcd6c0c182 |
completed | May 2, 2026, 11:29 p.m. |
Created at: April 9, 2026, 5:29 p.m.