Triple
T3832168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Ridgeline |
E91037
|
entity |
| Predicate | bedIntegration |
P1075
|
FINISHED |
| Object | integrated with cab |
—
|
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: integrated with cab | Statement: [Honda Ridgeline, bedIntegration, integrated with cab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bedIntegration Context triple: [Honda Ridgeline, bedIntegration, integrated with cab]
-
A.
beds
Indicates that one entity provides or designates a place for another entity to sleep or rest.
-
B.
borderIntegration
Indicates the degree or manner in which two or more bordering regions are interconnected, coordinated, or functionally unified across their shared boundary.
-
C.
bedName
Indicates the specific name or designation assigned to a bed within a given context or system.
-
D.
bedLength
Indicates the measurement of how long a bed is from one end to the other.
-
E.
integrates
chosen
Indicates that one entity combines or brings together another entity or set of entities into a unified, functioning whole.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.