Triple
T23176376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM Old Look bus |
E579015
|
entity |
| Predicate | typicalDoorConfiguration |
P4168
|
FINISHED |
| Object | front door only |
—
|
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: front door only | Statement: [GM Old Look bus, typicalDoorConfiguration, front door only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDoorConfiguration Context triple: [GM Old Look bus, typicalDoorConfiguration, front door only]
-
A.
doorConfiguration
chosen
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
-
B.
typicalUnitConfiguration
Indicates the standard or commonly used arrangement, composition, or setup of a unit in a given context.
-
C.
doorType
Indicates the specific kind or category of door associated with an entity.
-
D.
hasDoor
Indicates that one entity possesses or is equipped with a door that provides access to or through it.
-
E.
hasDoorSide
Indicates that one entity represents a specific side or face of a door in relation to another entity.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6a8644819099b107bb13ea16ff |
completed | April 29, 2026, 4:56 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:04 p.m.