Triple
T36570492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Joyner-Kersee |
E902107
|
entity |
| Predicate | heptathlonWorldRecordLocation |
P114516
|
FINISHED |
| Object | Seoul, South Korea |
—
|
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: Seoul, South Korea | Statement: [Jackie Joyner-Kersee, heptathlonWorldRecordLocation, Seoul, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heptathlonWorldRecordLocation Context triple: [Jackie Joyner-Kersee, heptathlonWorldRecordLocation, Seoul, South Korea]
-
A.
heptathlonWorldRecordScore
Indicates the numerical score that constitutes the world record performance in the heptathlon event.
-
B.
previousWorldRecordLocation
Indicates the location where the immediately preceding world record for a given event or category was set.
-
C.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
-
D.
worldRecord1500mPlace
Indicates the finishing position an entity achieved in a 1500-meter event when setting or relating to a world record performance.
-
E.
setWorldRecordLocation
chosen
Indicates the place where a world record was set or achieved.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.