Triple
T38361799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetherill Mesa |
E1046491
|
entity |
| Predicate | hasPrimaryMaterialCulture |
P3114
|
FINISHED |
| Object | masonry cliff dwellings |
—
|
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: masonry cliff dwellings | Statement: [Wetherill Mesa, hasPrimaryMaterialCulture, masonry cliff dwellings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryMaterialCulture Context triple: [Wetherill Mesa, hasPrimaryMaterialCulture, masonry cliff dwellings]
-
A.
hasAssociatedCulture
Indicates that an entity is related to, influenced by, or characterized by a particular culture.
-
B.
hasPrimaryMaterialCarriedHistorically
Indicates that an entity has historically carried or transported a particular material as its main or predominant cargo.
-
C.
hasCulturalCore
Indicates that one entity embodies or provides the central cultural values, practices, or identity that fundamentally define another entity.
-
D.
hasMainCult
Indicates that an entity is associated with a primary or predominant cult or religious worship tradition.
-
E.
hasCulturalFeature
chosen
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.