Triple
T33851156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 Summer Olympics women’s basketball tournament |
E867626
|
entity |
| Predicate | hostedInVenueCity |
P90517
|
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: [2004 Summer Olympics women’s basketball tournament, hostedInVenueCity, Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedInVenueCity Context triple: [2004 Summer Olympics women’s basketball tournament, hostedInVenueCity, Athens]
-
A.
cityOfVenue
Indicates the city in which a given venue is located.
-
B.
hostCityOfEvent
chosen
Indicates that a city serves as the location where a particular event is held or takes place.
-
C.
typicalVenueCity
Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
-
D.
hostCityOfEventParticipatedIn
Indicates that a city is the location where a particular event took place in which an entity participated.
-
E.
hostBidCity
Indicates that a city is serving or proposed to serve as the host location for a bid (e.g., for an event, project, or competition).
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7431c0eec81909ead443e07d75e18 |
completed | May 3, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69f74143cf708190a12d487884298437 |
completed | May 3, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:47 a.m.