Triple
T27464653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le MUC |
E693143
|
entity |
| Predicate | clubReferredPredecessor |
P137706
|
FINISHED |
| Object |
Union Sportive du Mans
Union Sportive du Mans was a French sports club from Le Mans best known as the predecessor to the modern football club Le Mans UC.
|
E1774293
|
NE FINISHED |
How this triple was built (3 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: Union Sportive du Mans | Statement: [Le MUC, clubReferredPredecessor, Union Sportive du Mans]
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: Union Sportive du Mans Triple: [Le MUC, clubReferredPredecessor, Union Sportive du Mans]
Generated description
Union Sportive du Mans was a French sports club from Le Mans best known as the predecessor to the modern football club Le Mans UC.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubReferredPredecessor Context triple: [Le MUC, clubReferredPredecessor, Union Sportive du Mans]
-
A.
clubPredecessorOf
chosen
Indicates that one club existed earlier and was replaced or succeeded by another club in an organizational or historical sequence.
-
B.
refersToClubFrom
Indicates that one entity is referencing or pointing to a specific club as its related or associated club.
-
C.
associatedClubPredecessorState
Indicates that a club is linked to a predecessor entity that existed in an earlier state or form of the organization.
-
D.
clubRebrandedAs
Indicates that a sports club has changed its official name or identity to become another specified club.
-
E.
referralBy
Indicates that one entity was referred, recommended, or directed to another entity by a specific source or agent.
- F. None of above.
Provenance (6 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62dfbe6508190a6871084c5afe20f |
completed | May 2, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbdee4888190a2cc72407ad6cb56 |
completed | May 24, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_6a12bc906eb481908d12f171b1230dbe |
completed | May 24, 2026, 8:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12bd3f12b481908606b8e373ff408a |
completed | May 24, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 12:51 p.m.