Triple
T482919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesquite |
E9808
|
entity |
| Predicate | hasResidentialPattern |
P6740
|
FINISHED |
| Object | predominantly low-density residential |
—
|
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: predominantly low-density residential | Statement: [Mesquite, hasResidentialPattern, predominantly low-density residential]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResidentialPattern Context triple: [Mesquite, hasResidentialPattern, predominantly low-density residential]
-
A.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
B.
residencyPattern
chosen
Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
-
C.
isResidentialHubIn
Indicates that a location functions primarily as a residential center or hub within a specified larger area or region.
-
D.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
E.
hasHouse
Indicates that one entity possesses, owns, or is provided with a house in relation to another 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0b8fe6081909f8ab87bfda6b2d8 |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf321288190b5d560f75782c2cb |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.