Triple
T20009305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotswold vernacular architecture |
E494544
|
entity |
| Predicate | typicalDoorFeature |
P8655
|
FINISHED |
| Object | simple plank 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: simple plank doors | Statement: [Cotswold vernacular architecture, typicalDoorFeature, simple plank doors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDoorFeature Context triple: [Cotswold vernacular architecture, typicalDoorFeature, simple plank doors]
-
A.
doorwayFeature
Indicates that one entity is a feature, characteristic, or structural element specifically associated with a doorway of another entity.
-
B.
hasDoor
Indicates that one entity possesses or is equipped with a door that provides access to or through it.
-
C.
doorType
chosen
Indicates the specific kind or category of door associated with an entity.
-
D.
doorConfiguration
Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
-
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a81c5881909692fcaaf59a57c9 |
completed | April 20, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.