Triple
T26133947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Asian Games |
E659322
|
entity |
| Predicate | hostNationMedalTallyRank |
P12121
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1962 Asian Games, hostNationMedalTallyRank, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostNationMedalTallyRank Context triple: [1962 Asian Games, hostNationMedalTallyRank, 2]
-
A.
hostCountryMedalRank
Indicates the ranking position of the host country in the overall medal standings for a given sporting event or competition.
-
B.
hostNationTotalMedals
Indicates the total number of medals won by the nation hosting a given sporting event or competition.
-
C.
hostNationGoldMedals
Indicates the number of gold medals won by the nation hosting a particular event or competition.
-
D.
hostNationMedalRank
chosen
Indicates the ranking position of the host nation in the overall medal standings for a sporting event or multi-sport competition.
-
E.
overallRankByTotalMedals
Indicates the relative ordering of entities based on the total number of medals they have earned, from highest to lowest.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b950b1881909accde0c8547369f |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:16 p.m.