Triple
T1111261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moche culture |
E11000
|
entity |
| Predicate | usedBuildingMaterial |
P618
|
FINISHED |
| Object | adobe brick |
—
|
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 brick | Statement: [Moche culture, usedBuildingMaterial, adobe brick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedBuildingMaterial Context triple: [Moche culture, usedBuildingMaterial, adobe brick]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
C.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
D.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
E.
material
chosen
Indicates that one entity is physically composed of, made from, or constructed using the substance or material represented by the other 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.