Triple
T35665727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawler-Transporter 1 |
E1030557
|
entity |
| Predicate | tracksPerSide |
P184067
|
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 1, tracksPerSide, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tracksPerSide Context triple: [Crawler-Transporter 1, tracksPerSide, 2]
-
A.
sectorCountPerTrack
Indicates the number of data sectors that are contained on each individual track of a storage medium.
-
B.
tracksPerCorner
Indicates the number of distinct tracks or lanes associated with each corner in a layout or design.
-
C.
numberOfGrooves
Indicates the count of grooves or channels present on or within an object or surface.
-
D.
diskSidesSupported
Indicates how many and which sides of a disk the system or device is capable of reading from or writing to.
-
E.
side1Track
Indicates that an entity is associated with or belongs to the first side or track in a two-sided or multi-track configuration.
- 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_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:05 p.m.