Triple
T31022674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIBA 3x3 Olympic tournament |
E790490
|
entity |
| Predicate | olympicHostCityAtDebut |
P177580
|
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: [FIBA 3x3 Olympic tournament, olympicHostCityAtDebut, Tokyo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicHostCityAtDebut Context triple: [FIBA 3x3 Olympic tournament, olympicHostCityAtDebut, Tokyo]
-
A.
olympicDebutLocation
Indicates the location where an entity (such as an athlete, team, or country) first participated in the Olympic Games.
-
B.
olympicHostCountry
Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
-
C.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
-
D.
firstOlympicHostCity
Indicates that the subject is the city that first hosted the Olympic Games for the specified object (such as a country, region, or edition).
-
E.
olympicGamesHosted
Indicates that a particular location or entity served as the host for a specific edition of the Olympic Games.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 29, 2026, 8:58 p.m.