Triple
T27206925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese women’s distance running squad |
E683889
|
entity |
| Predicate | peakPerformanceYear |
P18122
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Chinese women’s distance running squad, peakPerformanceYear, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPerformanceYear Context triple: [Chinese women’s distance running squad, peakPerformanceYear, 1993]
-
A.
yearOfPerformance
Indicates the specific calendar year in which a performance, event, or action took place.
-
B.
peakYear
chosen
Indicates the year in which something reached its highest or most significant level, performance, or prominence.
-
C.
finalPerformanceYear
Indicates the year in which an entity’s performance or activity is recorded or recognized for the last time.
-
D.
promotionYear
Indicates the year in which an entity was promoted to a new position, rank, or status.
-
E.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e6138c819093137c0d085b499b |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:38 a.m.