Triple
T4242021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Hills, Portland |
E95434
|
entity |
| Predicate | realEstateCharacter |
P9356
|
FINISHED |
| Object | high property values |
—
|
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: high property values | Statement: [West Hills, Portland, realEstateCharacter, high property values]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realEstateCharacter Context triple: [West Hills, Portland, realEstateCharacter, high property values]
-
A.
realEstateCategory
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
-
B.
nobleEstate
Indicates that an entity is a noble’s estate or property associated with nobility.
-
C.
famousEstate
Indicates that an estate (such as a property, residence, or landholding) is widely known or renowned, typically due to its history, architecture, ownership, or cultural significance.
-
D.
neighborhoodCharacteristic
chosen
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
-
E.
zoningCharacter
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
- 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e891bc08190831187da4f553f48 |
completed | March 12, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.