Triple
T5291353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norway national football team |
E119747
|
entity |
| Predicate | fifaHighestRankingDate |
P14838
|
FINISHED |
| Object | October 1993 |
—
|
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: October 1993 | Statement: [Norway national football team, fifaHighestRankingDate, October 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaHighestRankingDate Context triple: [Norway national football team, fifaHighestRankingDate, October 1993]
-
A.
fifaRankingHighestDate
chosen
Indicates the date on which an entity achieved its highest-ever FIFA ranking.
-
B.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
C.
fifaLikeRankingType
Indicates a ranking system or classification that follows the style, rules, or methodology of FIFA’s official rankings.
-
D.
usedInFIFAWorldRankingLists
Indicates that something (typically a system, method, or data) is employed as part of the process for creating or determining the official FIFA World Ranking lists.
-
E.
FIFARankingWorst
Indicates that the subject has the lowest (worst) FIFA ranking among a specified set of entities.
- 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_69bd446de5648190b313a90bd96730d2 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:52 p.m.