Triple
T794535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pars |
E16988
|
entity |
| Predicate | refersToClubType |
P19215
|
FINISHED |
| Object | professional football club |
—
|
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: professional football club | Statement: [The Pars, refersToClubType, professional football club]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToClubType Context triple: [The Pars, refersToClubType, professional football club]
-
A.
refersToVenueType
Indicates that one entity specifies or identifies the type or category of venue associated with another entity.
-
B.
involvesClub
Indicates that an action, event, or relationship includes or is associated with a specific club as a participating entity.
-
C.
supporterType
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
D.
refersToRole
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
E.
typeOfTeams
Indicates the categories or kinds of teams to which an entity or group of entities belongs.
- F. None of above. chosen
Provenance (4 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a79b976c819085cd381bbd597ca5 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a510f61881909175d6d8719246cd |
completed | March 1, 2026, 8:44 p.m. |
| PDg | Predicate description generation | batch_69a4a5edd0248190bd0240e5b3e67c71 |
completed | March 1, 2026, 8:47 p.m. |
Created at: March 1, 2026, 7:38 p.m.