Triple
T12854602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Terriers |
E307416
|
entity |
| Predicate | usedByClubInLeagueSystem |
P65267
|
FINISHED |
| Object | English football league system |
—
|
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: English football league system | Statement: [The Terriers, usedByClubInLeagueSystem, English football league system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByClubInLeagueSystem Context triple: [The Terriers, usedByClubInLeagueSystem, English football league system]
-
A.
usedByClub
chosen
Indicates that something (such as a resource, facility, or item) is utilized or employed by a club.
-
B.
usedInLeague
Indicates that an entity (such as a team, player, or item) participates or is employed within a particular league.
-
C.
supportsClubInLeague
Indicates that one entity provides backing or sponsorship for a club participating in a particular league.
-
D.
usedByClubFromCity
Indicates that something (such as a facility, stadium, or resource) is utilized by a sports club that is based in a particular city.
-
E.
supportedClubLeague
Indicates that an entity (typically a person or group) actively supported a particular sports club participating in a specified league.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.