Triple
T26946864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangerang people |
E678666
|
entity |
| Predicate | traditionalShelter |
P94889
|
FINISHED |
| Object | bark dwellings |
—
|
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: bark dwellings | Statement: [Pangerang people, traditionalShelter, bark dwellings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalShelter Context triple: [Pangerang people, traditionalShelter, bark dwellings]
-
A.
shelterType
chosen
Indicates the kind or category of shelter associated with an entity (e.g., tent, house, bunker).
-
B.
shelterName
Indicates the name assigned to a particular shelter in the relationship.
-
C.
shelterBehavior
Indicates how an entity behaves in relation to seeking, using, or providing shelter in a given context.
-
D.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
E.
adoptionOrganization
Indicates that an organization is responsible for managing or facilitating the adoption of the referenced 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 27, 2026, 6:22 a.m.