Triple
T31636656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornton Abbey |
E807329
|
entity |
| Predicate | gatehouseMaterial |
P65657
|
FINISHED |
| Object | brick and stone |
—
|
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: brick and stone | Statement: [Thornton Abbey, gatehouseMaterial, brick and stone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gatehouseMaterial Context triple: [Thornton Abbey, gatehouseMaterial, brick and stone]
-
A.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
B.
hasDoorMaterial
Indicates that an entity’s door is made of, or primarily composed of, a specified material.
-
C.
materialOfFortifications
chosen
Indicates that a specified material is used in the construction or composition of certain fortifications.
-
D.
houseMaterial
Indicates the material or substance from which a house is primarily constructed.
-
E.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 10:47 p.m.