Triple
T24732960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mehinaku |
E618336
|
entity |
| Predicate | villageLayout |
P157056
|
FINISHED |
| Object | circular village plan |
—
|
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: circular village plan | Statement: [Mehinaku, villageLayout, circular village plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: villageLayout Context triple: [Mehinaku, villageLayout, circular village plan]
-
A.
urbanLayout
Indicates how the spatial arrangement, organization, and structure of buildings, streets, and public spaces relate to one another within an urban area.
-
B.
isVillage
Indicates that the subject entity is classified as a village, typically a small human settlement or community.
-
C.
villageCenterStructure
Indicates that a structure serves as the central or primary building within a village.
-
D.
hasVillage
Indicates that an entity possesses, contains, or is associated with a village.
-
E.
numberOfVillages
Indicates the count of villages associated with a given entity or within a specified area or context.
- F. None of above. chosen
Provenance (4 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 4:02 a.m.