Triple
T7528541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teahupoʻo |
E177955
|
entity |
| Predicate | isOlympicVenueFor |
P11495
|
FINISHED |
| Object | surfing at the 2024 Summer Olympics |
—
|
LITERAL 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: surfing at the 2024 Summer Olympics | Statement: [Teahupoʻo, isOlympicVenueFor, surfing at the 2024 Summer Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOlympicVenueFor Context triple: [Teahupoʻo, isOlympicVenueFor, surfing at the 2024 Summer Olympics]
-
A.
usedAsOlympicStadiumFor
Indicates that a venue served as the official stadium for hosting events of a particular edition of the Olympic Games.
-
B.
OlympicGoldMedalCity
Indicates that a city is the location where an Olympic Games took place in which a gold medal was awarded.
-
C.
olympicEventsLocation
chosen
Indicates the location where specific Olympic events are held or take place.
-
D.
OlympicStatus
Indicates that an entity holds a particular status or role in relation to the Olympic Games (e.g., being an Olympic sport, event, athlete, or host).
-
E.
olympicSportHosted
Indicates that a particular Olympic sport was held or staged at a specific Olympic Games or host location.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81e19208190965f211d057f7fdf |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.