Triple
T1330147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segway PT |
E28622
|
entity |
| Predicate | riderPosition |
P26167
|
FINISHED |
| Object | standing |
—
|
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: standing | Statement: [Segway PT, riderPosition, standing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riderPosition Context triple: [Segway PT, riderPosition, standing]
-
A.
supportsRiderPosition
chosen
Indicates that one entity provides a stable or appropriate base or configuration that maintains or accommodates the rider’s body position.
-
B.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
C.
relativePositionOnCourse
Indicates the positional relationship of one participant or object relative to another along a defined course or route.
-
D.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
-
E.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c449bc8190acb6603a0ddac7fd |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.