Triple
T37760984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watthana District |
E941270
|
entity |
| Predicate | hasUpscaleResidentialArea |
P189010
|
FINISHED |
| Object | Thong Lo |
—
|
NE NERFINISHED |
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: Thong Lo | Statement: [Watthana District, hasUpscaleResidentialArea, Thong Lo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUpscaleResidentialArea Context triple: [Watthana District, hasUpscaleResidentialArea, Thong Lo]
-
A.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
B.
isRapidlyGrowingResidentialArea
Indicates that a location is experiencing a fast-paced increase in residential development and population density.
-
C.
isInResidentialArea
Indicates that something is located within a residential area, such as a neighborhood or zone primarily designated for housing.
-
D.
isSuburbanResidentialArea
Indicates that a location is primarily a residential neighborhood situated in a suburban (non-urban, non-rural) setting.
-
E.
hasResidentialBuilding
Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
- F. None of above. chosen
Provenance (4 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.