Triple
T8142355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Division subway cars |
E190126
|
entity |
| Predicate | lengthComparedTo |
P50260
|
FINISHED |
| Object | longer than A Division subway cars |
—
|
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: longer than A Division subway cars | Statement: [B Division subway cars, lengthComparedTo, longer than A Division subway cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthComparedTo Context triple: [B Division subway cars, lengthComparedTo, longer than A Division subway cars]
-
A.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
relativeLength
chosen
Indicates a comparative relationship between entities based on how long they are relative to one another.
-
D.
hasMaxLengthApprox
Indicates that something has a maximum length that is approximately equal to a specified value, allowing for some tolerance or imprecision.
-
E.
lengthComparedToOtherCreeds
Indicates how the length of one creed compares to the length of another creed.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4443a3748190bbae79f1d673c03d |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.