Triple
T29039002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres |
E737941
|
entity |
| Predicate | olympicGamesFrequency |
P110940
|
FINISHED |
| Object | every four years |
—
|
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: every four years | Statement: [women's 100 metres, olympicGamesFrequency, every four years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicGamesFrequency Context triple: [women's 100 metres, olympicGamesFrequency, every four years]
-
A.
OlympicFrequency
chosen
Indicates how often a particular Olympic event, competition, or occurrence takes place within the Olympic cycle.
-
B.
olympicGamesNumber
Indicates the specific edition number assigned to a particular occurrence of the Olympic Games.
-
C.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
D.
worldChampionshipFrequency
Indicates how often a world championship event is held or occurs over a given period.
-
E.
sequenceInSummerOlympics
Indicates that one event, competition, or occurrence takes place in a specific order or position within the sequence of events at the Summer 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 10 a.m.