Triple
T3874876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Havre AC |
E92474
|
entity |
| Predicate | academyReputation |
P27334
|
FINISHED |
| Object | one of the most respected in France |
—
|
LITERAL FINISHED |
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: one of the most respected in France | Statement: [Le Havre AC, academyReputation, one of the most respected in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyReputation Context triple: [Le Havre AC, academyReputation, one of the most respected in France]
-
A.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
B.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
C.
youthAcademyReputation
chosen
Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
-
D.
editorialReputation
Indicates the perceived quality, reliability, and integrity of an entity’s editorial practices or content.
-
E.
reputationInSources
Indicates that an entity has a certain reputation or standing as reflected or reported in various information sources.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1515c688190a38332aedeed8a76 |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee7574c408190893e70bf80514838 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.