Triple
T26931556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Rail Class 317 |
E678236
|
entity |
| Predicate | laterDoorType |
P8655
|
FINISHED |
| Object | power-operated sliding doors |
—
|
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: power-operated sliding doors | Statement: [British Rail Class 317, laterDoorType, power-operated sliding doors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDoorType Context triple: [British Rail Class 317, laterDoorType, power-operated sliding doors]
-
A.
doorType
chosen
Indicates the specific kind or category of door associated with an entity.
-
B.
hasDoor
Indicates that one entity possesses or is equipped with a door that provides access to or through it.
-
C.
hasDoorMaterial
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
D.
hasDoorSide
Indicates that one entity represents a specific side or face of a door in relation to another entity.
-
E.
doorConfiguration
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 27, 2026, 6:13 a.m.