Triple
T9743859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viswanathan Anand |
E236257
|
entity |
| Predicate | FIDERatingPeakDate |
P50941
|
FINISHED |
| Object | 2011-03 |
—
|
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: 2011-03 | Statement: [Viswanathan Anand, FIDERatingPeakDate, 2011-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIDERatingPeakDate Context triple: [Viswanathan Anand, FIDERatingPeakDate, 2011-03]
-
A.
fifaWorldRankingPeakPosition
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
-
B.
peakRatingDate
chosen
Indicates the date on which an entity reached its highest (peak) rating within a given rating history or period.
-
C.
peakRating
Indicates the highest rating value that has been achieved or recorded for an entity over a given period or context.
-
D.
fifaRankingHighest
Indicates that the subject has the highest FIFA ranking among a specified group or within a given context.
-
E.
eloHighestRanking
Indicates that one entity holds the highest Elo rating or ranking within a specified group or context relative to other 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:23 p.m.