Triple
T5930688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan women's national football team |
E131927
|
entity |
| Predicate | fifaWorldRankingBest |
P63434
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Japan women's national football team, fifaWorldRankingBest, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldRankingBest Context triple: [Japan women's national football team, fifaWorldRankingBest, 1]
-
A.
fifaHighestRanking
Indicates the highest position an entity has ever achieved in the official FIFA world rankings.
-
B.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
C.
fifaWorldRankingPeakPosition
chosen
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
-
D.
FIFARankingWorst
Indicates that the subject has the lowest (worst) FIFA ranking among a specified set of entities.
-
E.
fifaRankingHighestDate
Indicates the date on which an entity achieved its highest-ever FIFA ranking.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4 p.m.