Triple
T35665723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawler-Transporter 1 |
E1030557
|
entity |
| Predicate | platformWidth |
P183818
|
FINISHED |
| Object | about 35 meters |
—
|
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: about 35 meters | Statement: [Crawler-Transporter 1, platformWidth, about 35 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformWidth Context triple: [Crawler-Transporter 1, platformWidth, about 35 meters]
-
A.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
-
B.
platformLength
Indicates that one entity specifies the physical length or extent of a platform associated with another entity.
-
C.
platformHeight
Indicates the vertical distance or elevation of a platform relative to a defined reference level.
-
D.
platformDepth
Indicates the vertical distance or depth of a platform relative to a reference level or surface.
-
E.
availableWidth
Indicates the amount of horizontal space that is currently free or usable within a given context or container.
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.