Triple
T9743861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viswanathan Anand |
E236257
|
entity |
| Predicate | FIDERankingPeakDate |
P90463
|
FINISHED |
| Object | 2007-04 |
—
|
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: 2007-04 | Statement: [Viswanathan Anand, FIDERankingPeakDate, 2007-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIDERankingPeakDate Context triple: [Viswanathan Anand, FIDERankingPeakDate, 2007-04]
-
A.
summitElevationRank
Indicates the relative position of a summit in an ordered list based on its elevation compared to other summits.
-
B.
countryHighestPeaksRank
Indicates the relative ranking position of a country based on the heights of its highest peaks compared to those of other countries.
-
C.
countryHighestPointRank
Indicates the relative ranking of a country's highest natural elevation compared to the highest points of other countries.
-
D.
countryRankByHeightAtCompletion
Indicates the position of a country in an ordered list based on the height of something (typically a structure or project) at the time it was completed.
-
E.
fifaWorldRankingPeakPosition
Indicates the highest (best) position an entity has ever achieved in the official FIFA world rankings.
- 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_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. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:23 p.m.