Triple
T2781619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montpellier HSC |
E61708
|
entity |
| Predicate | youthDevelopmentReputation |
P27334
|
FINISHED |
| Object | strong |
—
|
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: strong | Statement: [Montpellier HSC, youthDevelopmentReputation, strong]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthDevelopmentReputation Context triple: [Montpellier HSC, youthDevelopmentReputation, strong]
-
A.
youthAcademyReputation
chosen
Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
-
B.
recruitingReputation
Indicates the perceived quality or effectiveness of an entity’s ability to attract and hire desirable candidates.
-
C.
associatedWithReputation
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
D.
studentSectionReputation
Indicates the perceived quality or standing of a particular student section, based on how it is viewed or evaluated by others.
-
E.
reputationWithinLDP
Indicates that an entity holds a particular reputation or standing within a specified Local Development Plan (LDP) context.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.