Triple
T33951398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | women's 100 metres hurdles |
E870449
|
entity |
| Predicate | olympicRecordDate |
P181013
|
FINISHED |
| Object | 2021-08-02 |
—
|
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: 2021-08-02 | Statement: [women's 100 metres hurdles, olympicRecordDate, 2021-08-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: olympicRecordDate Context triple: [women's 100 metres hurdles, olympicRecordDate, 2021-08-02]
-
A.
olympicRecordHolderAsOf2024
Indicates that the subject is the athlete or team that holds the official Olympic record for the specified event as of the year 2024.
-
B.
olympicRecordStatus
Indicates the relationship between a performance and the Olympic record, specifying whether and how that performance sets, equals, or affects the standing Olympic record.
-
C.
OlympicRecordBeforeEvent
Indicates that a performance was the standing Olympic record prior to the start of a specified event.
-
D.
longDistanceRecordDate
Indicates the date on which a long-distance record (such as for travel, communication, or performance over a long distance) was achieved or officially recorded.
-
E.
numberOfOlympicRecords
Indicates the count of Olympic records associated with a given entity.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: May 1, 2026, 1:49 a.m.