Triple
T22054587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotherfield |
E544971
|
entity |
| Predicate | buildingTypePresent |
P50464
|
FINISHED |
| Object | timber-framed houses |
—
|
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: timber-framed houses | Statement: [Rotherfield, buildingTypePresent, timber-framed houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingTypePresent Context triple: [Rotherfield, buildingTypePresent, timber-framed houses]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
containsBuildingType
chosen
Indicates that a location or area includes at least one building of the specified type.
-
C.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
buildingStructure
Indicates that one entity is a structural component or physical part that forms, supports, or constitutes the construction of 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285681848190a0bbe18d504d1f34 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:26 p.m.