Triple
T2039266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogollon culture |
E44703
|
entity |
| Predicate | usedBuildingType |
P542
|
FINISHED |
| Object | semi-subterranean pithouses |
—
|
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: semi-subterranean pithouses | Statement: [Mogollon culture, usedBuildingType, semi-subterranean pithouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBuildingType Context triple: [Mogollon culture, usedBuildingType, semi-subterranean pithouses]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
C.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb951870481909dbdd8fc8b0c02fe |
completed | March 7, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69abb7a8125881909c0cb58b777c1faa |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.