Triple
T6512233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Farah |
E150162
|
entity |
| Predicate | personalBest_5000m |
P43521
|
FINISHED |
| Object | 12:53.11 |
—
|
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: 12:53.11 | Statement: [Mo Farah, personalBest_5000m, 12:53.11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personalBest_5000m Context triple: [Mo Farah, personalBest_5000m, 12:53.11]
-
A.
personalBest
chosen
Indicates that one entity represents the best performance or achievement ever attained personally by another entity.
-
B.
olympicBestResult
Indicates the best performance or highest achievement an entity has attained in Olympic competition.
-
C.
marathonWinner
Indicates that one entity is the competitor who finished first and won a specified marathon event.
-
D.
worldAthleticsLabel
Indicates that an entity is identified by a specific label or designation as defined by World Athletics.
-
E.
hourRecordDistance
Indicates that one entity holds or represents the record for the greatest distance covered within a one-hour time period relative to another entity or context.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab98c78819081743e614df04e1d |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:44 p.m.