Triple
T2794960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Peñas neighborhood |
E53013
|
entity |
| Predicate | typicalBuildingMaterial |
P29245
|
FINISHED |
| Object | wooden 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: wooden houses | Statement: [Las Peñas neighborhood, typicalBuildingMaterial, wooden houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuildingMaterial Context triple: [Las Peñas neighborhood, typicalBuildingMaterial, wooden houses]
-
A.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
B.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
D.
streetMaterial
Indicates the material composition from which a street or road surface is made.
-
E.
buildingMaterialTradition
chosen
Indicates the customary or historically established use of particular materials in the construction of a building or structure.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddd48bcc819083f4ec59d66f0ece |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.