Triple
T26133926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Asian Games |
E659322
|
entity |
| Predicate | hostCityCountryAtTime |
P164821
|
FINISHED |
| Object | Indonesia |
—
|
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: Indonesia | Statement: [1962 Asian Games, hostCityCountryAtTime, Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCityCountryAtTime Context triple: [1962 Asian Games, hostCityCountryAtTime, Indonesia]
-
A.
hostCityCurrentCountry
Indicates that a city currently serves as the host location for an event or organization within the specified country.
-
B.
hostCityLocatedOn
Indicates that the city serving as a host (e.g., of an event) is geographically situated on or along a specified physical feature or area (such as a river, coast, or region).
-
C.
hostCityOfEvent
Indicates that a city serves as the location where a particular event is held or takes place.
-
D.
hostCityPreviouslyHosted
Indicates that the city currently hosting an event has also hosted that same event in one or more previous editions.
-
E.
hostCitySelectionCountry
Indicates the country responsible for selecting or designating the host city for a particular event or activity.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 26, 2026, 8:16 p.m.