Triple
T3922838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gila Cliff Dwellings (core archeological area) |
E93200
|
entity |
| Predicate | wallConstruction |
P7599
|
FINISHED |
| Object | stone masonry with mud mortar |
—
|
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: stone masonry with mud mortar | Statement: [Gila Cliff Dwellings (core archeological area), wallConstruction, stone masonry with mud mortar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallConstruction Context triple: [Gila Cliff Dwellings (core archeological area), wallConstruction, stone masonry with mud mortar]
-
A.
constructionType
chosen
Indicates the specific method or style by which something is built or constructed.
-
B.
wingConstruction
Indicates the method or structural design by which a wing is built or assembled.
-
C.
constructionBase
Indicates that one entity serves as the foundational structure or base upon which another entity is constructed or built.
-
D.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeed7c2c848190a6d62e2df9b942d4 |
completed | March 9, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.