Triple
T33126585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic softball tournament |
E847738
|
entity |
| Predicate | reinstatedHostCity |
P176123
|
FINISHED |
| Object | Tokyo |
—
|
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: Tokyo | Statement: [Olympic softball tournament, reinstatedHostCity, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reinstatedHostCity Context triple: [Olympic softball tournament, reinstatedHostCity, Tokyo]
-
A.
inauguralHostCity
Indicates the city that first hosted a particular event, competition, or series.
-
B.
lastHostCity
Indicates that one entity is the most recent city to have hosted the event or activity associated with the other entity.
-
C.
finalHostCity
Indicates the city that ultimately hosts or is selected to host a particular event or competition.
-
D.
previousHostCity
Indicates that one city served as the immediately preceding host city relative to another in a sequence of hosting events.
-
E.
hostCityRenamed
Indicates that the city hosting an event has undergone a name change from its previous official designation.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: May 1, 2026, 1:27 a.m.