Triple
T35383199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boreham Wood F.C. |
E1022710
|
entity |
| Predicate | playsInTierOfEnglishLeagueSystem |
P182905
|
FINISHED |
| Object | fifth tier |
—
|
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: fifth tier | Statement: [Boreham Wood F.C., playsInTierOfEnglishLeagueSystem, fifth tier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInTierOfEnglishLeagueSystem Context triple: [Boreham Wood F.C., playsInTierOfEnglishLeagueSystem, fifth tier]
-
A.
championLeagueLevel
Indicates the competitive tier or division of a league in which a champion or team competes.
-
B.
EFLLeagueOneLevel
Indicates that an entity (typically a football club, season, or competition) is associated with playing at the EFL League One tier within the English football league system.
-
C.
capacityRankInPremierLeague
Indicates the relative position of an entity’s stadium capacity compared to other entities within the Premier League.
-
D.
isPremierLeagueOf
Indicates that a football club participates in or belongs to the Premier League competition.
-
E.
premiershipLeague
Indicates that an entity participates in or is associated with the top-tier Premiership league competition.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: May 3, 2026, 4:03 p.m.