Triple
T1953215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Games of the XXX Olympiad |
E42204
|
entity |
| Predicate | previousTimesCityHostedSummerOlympics |
P8632
|
FINISHED |
| Object | 1908 |
—
|
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: 1908 | Statement: [Games of the XXX Olympiad, previousTimesCityHostedSummerOlympics, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTimesCityHostedSummerOlympics Context triple: [Games of the XXX Olympiad, previousTimesCityHostedSummerOlympics, 1908]
-
A.
hostCityNumberOfTimesHostedSummerGames
chosen
Indicates how many times a particular city has hosted the Summer Olympic Games.
-
B.
previousSummerOlympics
Indicates that one Olympic Games event occurred immediately before another in the chronological sequence of Summer Olympic Games.
-
C.
secondTimeCountryHostedSummerGames
Indicates that a country is hosting the Summer Olympic Games for the second time.
-
D.
fourthTimeCountryHostedSummerGames
Indicates that a country is hosting the Summer Olympic Games for the fourth time in its history.
-
E.
olympicHostCountry
Indicates that a country served as the official host nation for a particular edition of the Olympic Games.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3501d108190bc5cb23f53db4411 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.