Triple
T4006827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League |
E89544
|
entity |
| Predicate | positionRelativeToEFLLeagueTwo |
P41168
|
FINISHED |
| Object | one tier below EFL League Two |
—
|
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: one tier below EFL League Two | Statement: [National League, positionRelativeToEFLLeagueTwo, one tier below EFL League Two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionRelativeToEFLLeagueTwo Context triple: [National League, positionRelativeToEFLLeagueTwo, one tier below EFL League Two]
-
A.
positionInLeagueSystem
chosen
Indicates the rank or tier an entity holds within an organized league or competitive system.
-
B.
secondDivisionLeagueRepresented
Indicates that an entity is or was represented by a team or participant competing in a second-division sports league.
-
C.
league2
Indicates that an entity participates in, is a member of, or is otherwise affiliated with a specific sports league or competitive organization.
-
D.
finalLeaguePosition
Indicates the finishing rank or place an entity achieved in a league or season-long competition.
-
E.
clubPosition
Indicates the specific role or position an individual holds within a sports club or team.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fa6fec81909b1190ecbba61410 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.