Triple
T27464654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le MUC |
E693143
|
entity |
| Predicate | clubReferredHomeCountry |
P104399
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
How this triple was built (2 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: France | Statement: [Le MUC, clubReferredHomeCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubReferredHomeCountry Context triple: [Le MUC, clubReferredHomeCountry, France]
-
A.
clubCountryReferenced
chosen
Indicates that a club is associated with or located in a particular country.
-
B.
homeCountryForLeaguePurposes
Indicates the country that is officially recognized as a league’s home or base of operations for regulatory or organizational purposes.
-
C.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
D.
memberOfThroughCountry
Indicates that an entity is a member of another entity (such as an organization or group) by virtue of, or via, its association with a specific country.
-
E.
homeCountryConfederation
Indicates the confederation (regional governing body) to which an entity’s home country belongs.
- F. None of above.
Provenance (3 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_69f6359e3d3c81909814e2f0a7fb0ea9 |
completed | May 2, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f631871c888190bf29466fe4254e51 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 12:51 p.m.