Triple
T34722565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Verde |
E1000956
|
entity |
| Predicate | isHighDensityHousing |
P81830
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Laguna Verde, isHighDensityHousing, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHighDensityHousing Context triple: [Laguna Verde, isHighDensityHousing, true]
-
A.
hasHousingDensity
Indicates the relationship between an area and the concentration of housing units within that area, typically measured as units per unit of land.
-
B.
isHighDensitySuburb
Indicates that a suburb has a relatively high population density compared to typical suburban areas.
-
C.
hasHighDensityOf
chosen
Indicates that one entity contains or exhibits a large concentration or amount of another entity within a given area, volume, or context.
-
D.
isHighRise
Indicates that a building or structure is classified as a high-rise, typically due to its height exceeding a defined multi-story threshold.
-
E.
hasHighRiseBuildings
Indicates that the subject location contains one or more tall, multi-story buildings commonly classified as high-rises.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.