Triple
T13981729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet City Express |
E336326
|
entity |
| Predicate | hasSlidingDoors |
P106154
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chevrolet City Express, hasSlidingDoors, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlidingDoors Context triple: [Chevrolet City Express, hasSlidingDoors, yes]
-
A.
hasPlatformScreenDoors
Indicates that a transit station or platform is equipped with platform screen doors separating passengers from the tracks.
-
B.
hasSlidingMechanism
chosen
Indicates that one entity possesses or incorporates a mechanism that allows parts of it to move smoothly along a track or surface in a sliding motion.
-
C.
hasEndDoors
Indicates that an object or structure is equipped with doors located at one or more of its ends.
-
D.
hasDoor
Indicates that one entity possesses or is equipped with a door that provides access to or through it.
-
E.
hasDoorGuard
Indicates that an entity has another entity serving as a guard for its door or entrance.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.