Triple
T35665728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawler-Transporter 1 |
E1030557
|
entity |
| Predicate | shoesPerTrack |
P176428
|
FINISHED |
| Object | 57 |
—
|
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: 57 | Statement: [Crawler-Transporter 1, shoesPerTrack, 57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoesPerTrack Context triple: [Crawler-Transporter 1, shoesPerTrack, 57]
-
A.
shoeCount
chosen
Indicates the number of shoes associated with a given entity.
-
B.
shoeLine
Indicates a relationship where a shoe is part of, or belongs to, a particular product line or collection of shoes.
-
C.
shoeColor
Indicates the color attribute associated with a shoe.
-
D.
hasStandardToeCount
Indicates that an entity possesses the typical or expected number of toes for its kind.
-
E.
traditionalFootwear
Indicates that the relationship involves footwear that is characteristic of, or historically associated with, a particular culture, region, or tradition.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fac9a748190bbead51a19556c63 |
completed | May 3, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.