Triple
T30469451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Teine |
E775249
|
entity |
| Predicate | wasOlympicVenueInYear |
P95196
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Mount Teine, wasOlympicVenueInYear, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOlympicVenueInYear Context triple: [Mount Teine, wasOlympicVenueInYear, 1972]
-
A.
wasOlympicVenueNear
Indicates that a location served as an Olympic venue situated geographically close to another specified place or feature.
-
B.
OlympicVenue
chosen
Indicates that a location serves or has served as a site where official Olympic Games events are held.
-
C.
usedAsOlympicStadiumFor
Indicates that a venue served as the official stadium for hosting events of a particular edition of the Olympic Games.
-
D.
OlympicVenueType
Indicates the specific type or classification of a venue used for Olympic events.
-
E.
recognizedAsOlympicInYear
Indicates that an event, sport, or discipline was officially recognized as part of the Olympic Games in a specified year.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687141bec8190bdae776ad835fa6f |
completed | May 2, 2026, 11:21 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:11 p.m.