Triple
T1172018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States women's national soccer team |
E24933
|
entity |
| Predicate | fifaRankingBest |
P14837
|
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: [United States women's national soccer team, fifaRankingBest, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaRankingBest Context triple: [United States women's national soccer team, fifaRankingBest, 1]
-
A.
fifaRankingHighest
chosen
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
B.
fifaRankingHighestDate
Indicates the date on which an entity achieved its highest-ever FIFA ranking.
-
C.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
-
D.
featuresTopPlayersFrom
Indicates that something includes or showcases the most prominent or best-performing players from a specified source or group.
-
E.
featuresTopPlayers
Indicates that something prominently presents or showcases the most outstanding or highly ranked players.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bceb3f188190b8b767380fe5986f |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.