Triple
T35083291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northfield Center Historic District |
E1012507
|
entity |
| Predicate | typicalBuildingMaterials |
P104293
|
FINISHED |
| Object | wood-frame construction |
—
|
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: wood-frame construction | Statement: [Northfield Center Historic District, typicalBuildingMaterials, wood-frame construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuildingMaterials Context triple: [Northfield Center Historic District, typicalBuildingMaterials, wood-frame construction]
-
A.
houseMaterial
Indicates the material or substance from which a house is primarily constructed.
-
B.
roofMaterialTypical
Indicates the material that is most commonly or characteristically used for the roof of a given structure or building type.
-
C.
مادة البناء
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
D.
brickTypeUsedFor
Indicates that a particular type of brick is used for constructing or forming a specified object, structure, or component.
-
E.
featuresMaterialType
chosen
Indicates that an entity is characterized by or incorporates a specific type of material.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:01 p.m.