Triple
T28324687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cove Fort, Utah |
E717372
|
entity |
| Predicate | hasBuildingMaterialProperty |
P104293
|
FINISHED |
| Object | more durable than typical wooden forts of the era |
—
|
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: more durable than typical wooden forts of the era | Statement: [Cove Fort, Utah, hasBuildingMaterialProperty, more durable than typical wooden forts of the era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingMaterialProperty Context triple: [Cove Fort, Utah, hasBuildingMaterialProperty, more durable than typical wooden forts of the era]
-
A.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
B.
featuresMaterialType
chosen
Indicates that an entity is characterized by or incorporates a specific type of material.
-
C.
hasStationBuildingMaterial
Indicates that a station’s building is constructed from, or primarily composed of, a specified material.
-
D.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
E.
hasBuildingMaterialInHut
Indicates that a hut is constructed using a specified building 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 28, 2026, 12:27 a.m.