Triple
T24284597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 × 100 metres relay |
E605635
|
entity |
| Predicate | trackSegment |
P155685
|
FINISHED |
| Object | curved legs and straight legs |
—
|
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: curved legs and straight legs | Statement: [4 × 100 metres relay, trackSegment, curved legs and straight legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackSegment Context triple: [4 × 100 metres relay, trackSegment, curved legs and straight legs]
-
A.
trackedSegment
Indicates that a specific segment or portion of something (such as a path, process, or sequence) is being monitored, recorded, or followed over time.
-
B.
trackFeature
Indicates that one entity monitors, records, or follows the behavior, state, or evolution of a particular feature associated with another entity.
-
C.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
transportSegment
Indicates a distinct portion of a larger journey or route during which something or someone is transported from one point to another.
-
E.
trackOver
Indicates that one entity follows, monitors, or records the behavior, state, or progress of another entity across a period of time or over a sequence of events.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f54c5948190a28207d47d6205e4 |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 18, 2026, 12:08 a.m.