Triple
T366397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IND |
E7968
|
entity |
| Predicate | statusInLeague |
P12781
|
FINISHED |
| Object | traditional powerhouse |
—
|
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: traditional powerhouse | Statement: [IND, statusInLeague, traditional powerhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInLeague Context triple: [IND, statusInLeague, traditional powerhouse]
-
A.
usedInLeague
Indicates that an entity (such as a team, player, or item) participates or is employed within a particular league.
-
B.
officialStatusWithTeam
Indicates that an entity holds or has held an official role, position, or status in relation to a specific team.
-
C.
leaguePlayedIn
Indicates that a sports team or player has participated in competitions within a particular league.
-
D.
playedInLeagueThatBecame
Indicates that an entity participated in a sports league which later transformed into, merged into, or was rebranded as another specified league.
-
E.
hasProfessionalLeague
Indicates that an entity is associated with or participates in a recognized professional sports league.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe7d4d0819083daeb7686ae1914 |
completed | Feb. 28, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69a2e95dbb208190b277fc5352a4ee84 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2eafc8da88190b4a05182f4384442 |
completed | Feb. 28, 2026, 1:17 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.