Triple
T31651191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Lake City 2002 Olympic program |
E807733
|
entity |
| Predicate | primaryVenuesRegion |
P50986
|
FINISHED |
| Object | Salt Lake City metropolitan area |
E416834
|
NE 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: Salt Lake City metropolitan area | Statement: [Salt Lake City 2002 Olympic program, primaryVenuesRegion, Salt Lake City metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryVenuesRegion Context triple: [Salt Lake City 2002 Olympic program, primaryVenuesRegion, Salt Lake City metropolitan area]
-
A.
typicalVenueRegion2
Indicates that a venue is commonly or characteristically located within a particular secondary geographic region.
-
B.
primaryVenues
Indicates the main or most important venues associated with or used by a given entity.
-
C.
homeVenueRegion
Indicates the geographic region in which an entity’s primary or home venue is located.
-
D.
primaryVenueFor
Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
-
E.
typicalVenueMetroArea
chosen
Indicates the metropolitan area where an entity is most commonly or characteristically located or hosted.
- F. None of above.
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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e7fc370f88190b83063ef39a03e49 |
completed | June 14, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 10:53 p.m.