Triple
T28019797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C Track |
E707653
|
entity |
| Predicate | hasStandardStraightLength |
P192636
|
FINISHED |
| Object | 188.3 mm |
—
|
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: 188.3 mm | Statement: [C Track, hasStandardStraightLength, 188.3 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardStraightLength Context triple: [C Track, hasStandardStraightLength, 188.3 mm]
-
A.
mainStraightLengthM
Indicates the length, measured in meters, of the main straight segment (typically of a track, road, or similar linear feature).
-
B.
maximumStandardLength
Indicates the greatest allowable or specified length for something according to a defined standard.
-
C.
isMostlyStraight
Indicates that an entity is predominantly but not entirely straight in orientation, alignment, or form.
-
D.
hasBarLength
Indicates that an entity possesses a bar whose length is specified or measured.
-
E.
stapleLengthRange
Indicates the allowable minimum and maximum length of staples used or required in a given context.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: April 27, 2026, 8:09 p.m.