Triple
T27326963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qu Yunxia |
E689677
|
entity |
| Predicate | worldRecord1500mPlace |
P175313
|
FINISHED |
| Object | Beijing |
—
|
NE NERFINISHED |
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: Beijing | Statement: [Qu Yunxia, worldRecord1500mPlace, Beijing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldRecord1500mPlace Context triple: [Qu Yunxia, worldRecord1500mPlace, Beijing]
-
A.
worldRecord1500mDate
Indicates the date on which a world record was set in the 1500-meter event.
-
B.
previousWorldRecordLocation
Indicates the location where the immediately preceding world record for a given event or category was set.
-
C.
worldSpeedRecordLocation
Indicates the location where a world speed record was achieved or officially recorded.
-
D.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
-
E.
personalBest800mPlace
Indicates the finishing place or rank an individual achieved in their personal-best performance in the 800-meter event.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 27, 2026, 11:36 a.m.