Triple
T3600815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vermont Vista |
E76249
|
entity |
| Predicate | hasHousingMarket |
P16332
|
FINISHED |
| Object | primarily renter-occupied |
—
|
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: primarily renter-occupied | Statement: [Vermont Vista, hasHousingMarket, primarily renter-occupied]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHousingMarket Context triple: [Vermont Vista, hasHousingMarket, primarily renter-occupied]
-
A.
hasHouses
Indicates that one entity possesses, controls, or contains one or more houses in relation to another entity or context.
-
B.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another entity.
-
C.
hasHousingAccess
Indicates that an entity has the ability, right, or opportunity to obtain or use suitable housing.
-
D.
propertyMarket
chosen
Indicates a relationship where real estate or properties are being offered, traded, or evaluated within a market context.
-
E.
hasGeneralHouse
Indicates that an entity possesses or is associated with a general-purpose house or primary residential building.
- 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1a1e8c48190a28ea3ddfe8c4e54 |
completed | March 8, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69adb83b66708190bb9d2f23d6fd308e |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.