Triple
T3485221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Whites |
E73589
|
entity |
| Predicate | usedBySupporters |
P49046
|
FINISHED |
| Object | Leeds United supporters |
—
|
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: Leeds United supporters | Statement: [The Whites, usedBySupporters, Leeds United supporters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBySupporters Context triple: [The Whites, usedBySupporters, Leeds United supporters]
-
A.
usesSupporter
Indicates that one entity makes use of another entity that serves as its supporter, helper, or backing resource in performing an action or fulfilling a role.
-
B.
supporters
Indicates a relationship where one entity backs, endorses, or actively helps another entity, cause, or position.
-
C.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
D.
numberOfSupporters
Indicates the quantity of entities that provide backing, endorsement, or support to a given entity or proposition.
-
E.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb8f205c8190aa6f7484ebad14bb |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0935ac8190bfa8a8bd3dcd3301 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.