Triple
T12257213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt national football team |
E292132
|
entity |
| Predicate | fifaRankingBestDate |
P14838
|
FINISHED |
| Object | 2010-02-01 |
—
|
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: 2010-02-01 | Statement: [Egypt national football team, fifaRankingBestDate, 2010-02-01]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaRankingBestDate Context triple: [Egypt national football team, fifaRankingBestDate, 2010-02-01]
-
A.
fifaRankingHighestDate
chosen
Indicates the date on which an entity achieved its highest-ever FIFA ranking.
-
B.
fifaRankingBestSpanEnd
Indicates the ending point in time of the period during which an entity held its highest FIFA ranking.
-
C.
fifaRankingBestSpanStart
Indicates the starting point in time when an entity begins its best (highest) FIFA ranking span.
-
D.
fifaLowestRankingDate
Indicates the date on which an entity reached its lowest-ever position in the FIFA world rankings.
-
E.
fifaHighestRanking
Indicates the highest position an entity has ever achieved in the official FIFA world rankings.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.