Triple
T34522761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humahuaca |
E886320
|
entity |
| Predicate | hasTraditionalArchitectureElement |
P6684
|
FINISHED |
| Object | adobe houses |
—
|
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: adobe houses | Statement: [Humahuaca, hasTraditionalArchitectureElement, adobe houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalArchitectureElement Context triple: [Humahuaca, hasTraditionalArchitectureElement, adobe houses]
-
A.
hasArchitecturalFeature
chosen
Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
-
B.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
C.
hasHeritageElements
Indicates that something contains or includes elements that are part of a cultural, historical, or natural heritage.
-
D.
hasTraditionElement
Indicates that something includes, embodies, or is associated with a particular traditional practice, custom, or cultural element.
-
E.
hasArchitecturalPreservation
Indicates that something is subject to or benefits from measures aimed at preserving its architectural features or heritage.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 1, 2026, 2:02 a.m.