Triple
T12257216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt national football team |
E292132
|
entity |
| Predicate | eloRankingBestYear |
P103761
|
FINISHED |
| Object | 2010 |
—
|
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 | Statement: [Egypt national football team, eloRankingBestYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eloRankingBestYear Context triple: [Egypt national football team, eloRankingBestYear, 2010]
-
A.
eloHighestRanking
Indicates that one entity holds the highest Elo rating or ranking within a specified group or context relative to other entities.
-
B.
yearEndRanking
Indicates the final ranking or position an entity holds at the end of a specified year.
-
C.
worldRugbyRankingBestYear
Indicates the year in which an entity achieved its highest position in the World Rugby rankings.
-
D.
fifaRankingWorstYear
Indicates the year in which an entity (such as a team or player) reached its lowest (worst) position in the FIFA rankings.
-
E.
fifaRankingBestSpanEnd
Indicates the ending point in time of the period during which an entity held its highest FIFA ranking.
- 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_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. |
| PDg | Predicate description generation | batch_69d91d3654208190a2e0487dfa1d54da |
completed | April 10, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:52 p.m.