Triple
T525813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modern Olympic Games |
E10915
|
entity |
| Predicate | firstSummerGamesYear |
P15158
|
FINISHED |
| Object | 1896 |
—
|
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: 1896 | Statement: [modern Olympic Games, firstSummerGamesYear, 1896]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSummerGamesYear Context triple: [modern Olympic Games, firstSummerGamesYear, 1896]
-
A.
previousSummerOlympics
Indicates that one Olympic Games event occurred immediately before another in the chronological sequence of Summer Olympic Games.
-
B.
olympicOpeningDate
Indicates the calendar date on which a specific edition of the Olympic Games officially begins with its opening ceremony.
-
C.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
D.
firstTimeCountryHostedSummerGames
Indicates that this was the first occasion on which a given country hosted the Summer Olympic Games.
-
E.
olympicDebut
Indicates the event or year in which an entity first participated in 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.