Triple
T24578855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 × 400 metres relay |
E608189
|
entity |
| Predicate | typicalOrderOfRunners |
P156411
|
FINISHED |
| Object | strong starter on first leg |
—
|
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: strong starter on first leg | Statement: [4 × 400 metres relay, typicalOrderOfRunners, strong starter on first leg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOrderOfRunners Context triple: [4 × 400 metres relay, typicalOrderOfRunners, strong starter on first leg]
-
A.
baseRunners
Indicates that certain players are currently occupying one or more bases as runners in a baseball play or game situation.
-
B.
frontRunnerAtStart
Indicates that an entity is the leading competitor or in first position at the beginning of an event or process.
-
C.
eventualFrontRunner
Indicates that an entity is expected or predicted to become the leading or most successful one among a set of competitors in the future.
-
D.
runnerType
Indicates the specific category or style of running associated with an entity (e.g., sprinter, marathoner, trail runner).
-
E.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a97cd0d4819091bf0841fa8e108a |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:29 a.m.