Triple
T33821875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamela Jelimo |
E866847
|
entity |
| Predicate | firstKenyanWomanToWinOlympicGoldOn |
P148420
|
FINISHED |
| Object | track |
—
|
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: track | Statement: [Pamela Jelimo, firstKenyanWomanToWinOlympicGoldOn, track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKenyanWomanToWinOlympicGoldOn Context triple: [Pamela Jelimo, firstKenyanWomanToWinOlympicGoldOn, track]
-
A.
resultedInFirstElectedFemaleHeadOfStateInAfrica
Indicates that an event, action, or circumstance led to the election of the first female head of state in Africa.
-
B.
olympicGoldMedalist
Indicates that an entity has won a gold medal at the Olympic Games.
-
C.
olympicChampionIn
chosen
Indicates that an entity has won a championship title in a specified Olympic sport or event.
-
D.
marathonWinner
Indicates that one entity is the competitor who finished first and won a specified marathon event.
-
E.
olympicGoldWith
Indicates that the related entities won an Olympic gold medal together, typically as teammates in the same event or competition.
- 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_69f34991dd248190a659541588506b3c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.