Triple
T36406475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taufik Hidayat |
E896760
|
entity |
| Predicate | OlympicGoldCity |
P31742
|
FINISHED |
| Object | Athens |
—
|
NE NERFINISHED |
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: Athens | Statement: [Taufik Hidayat, OlympicGoldCity, Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicGoldCity Context triple: [Taufik Hidayat, OlympicGoldCity, Athens]
-
A.
OlympicGoldMedalCity
chosen
Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
-
B.
OlympicCity
Indicates that a city has been designated as a host location for the Olympic Games.
-
C.
OlympicHostCity
Indicates that a city has been officially selected to host and organize a particular edition of the Olympic Games.
-
D.
lastOlympicCity
Indicates the relationship where a city is identified as the most recent host of the Olympic Games for a given edition or context.
-
E.
olympicSilverCity
Indicates that a city is the location where an Olympic silver medal was won or is associated with a silver-medal Olympic achievement.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.