Triple
T12117231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rungus |
E288596
|
entity |
| Predicate | longhouseType |
P542
|
FINISHED |
| Object | communal longhouse |
—
|
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: communal longhouse | Statement: [Rungus, longhouseType, communal longhouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longhouseType Context triple: [Rungus, longhouseType, communal longhouse]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
countryHouseType
Indicates the type or category of house associated with or characteristic of a particular country.
-
C.
houseTypeUpper
Indicates that one entity specifies the broader or more general house type category to which the other entity’s house type belongs.
-
D.
residenceType
chosen
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
E.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.