Triple
T15919684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Conference |
E386059
|
entity |
| Predicate | positionRelativeToFootballLeague |
P41168
|
FINISHED |
| Object | directly below the Football League |
—
|
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: directly below the Football League | Statement: [Football Conference, positionRelativeToFootballLeague, directly below the Football League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToFootballLeague Context triple: [Football Conference, positionRelativeToFootballLeague, directly below the Football League]
-
A.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
-
B.
positionInLeagueSystem
chosen
Indicates the rank or tier an entity holds within an organized league or competitive system.
-
C.
positionInLineup
Indicates the specific ordered place an entity occupies within a lineup or sequence of entities.
-
D.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
-
E.
locationLeague
Indicates that an entity (such as a sports team or club) is associated with or participates in a particular 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.