Triple
T12738682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawler-Transporter 2 |
E304430
|
entity |
| Predicate | tracksPerCorner |
P106645
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Crawler-Transporter 2, tracksPerCorner, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tracksPerCorner Context triple: [Crawler-Transporter 2, tracksPerCorner, 2]
-
A.
locatedAtCornerOf
Indicates that one entity is positioned at or forms the corner where two or more boundaries, edges, or intersecting paths meet.
-
B.
sectorCountPerTrack
Indicates the number of data sectors that are contained on each individual track of a storage medium.
-
C.
oversPerSide
Indicates the number of overs allocated to each side (team or player) in a match or contest.
-
D.
tileCount
Indicates the number of tiles associated with or contained by a given entity or area.
-
E.
numberOfGrooves
Indicates the count of grooves or channels present on or within an object or surface.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.