Triple
T21703911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abebe Bikila |
E535723
|
entity |
| Predicate | styleOfRunning |
P56420
|
FINISHED |
| Object | front-running marathon strategy |
—
|
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: front-running marathon strategy | Statement: [Abebe Bikila, styleOfRunning, front-running marathon strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfRunning Context triple: [Abebe Bikila, styleOfRunning, front-running marathon strategy]
-
A.
runningStyle
Indicates the characteristic manner or form in which an entity performs running.
-
B.
runningDiscipline
Indicates a relationship where an entity participates in or is associated with running as a sport or athletic discipline.
-
C.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
D.
legRunner
Indicates that an entity functions as a runner or moving component that operates in conjunction with a leg or leg-like structure.
-
E.
styleOfRacing
chosen
Indicates the specific manner or approach in which an entity participates in or performs racing.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b82901c81909de242c920fbc164 |
completed | April 27, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:46 p.m.