Triple
T36542373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Housing New Zealand Corporation |
E901054
|
entity |
| Predicate | ownedHousingStockType |
P27844
|
FINISHED |
| Object | state houses |
—
|
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: state houses | Statement: [Housing New Zealand Corporation, ownedHousingStockType, state houses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedHousingStockType Context triple: [Housing New Zealand Corporation, ownedHousingStockType, state houses]
-
A.
propertyTypeOwned
chosen
Indicates that one entity owns a specific type or category of property in relation to another entity.
-
B.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
C.
domicileType
Indicates the category or kind of residence or dwelling associated with an entity.
-
D.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
-
E.
typeOfHouse
Indicates the specific category or kind of house associated with an entity (e.g., apartment, detached house, townhouse).
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.