Triple
T34511435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phương Canh Ward |
E886031
|
entity |
| Predicate | isRapidlyDevelopingAreaOf |
P179412
|
FINISHED |
| Object | Nam Từ Liêm District |
—
|
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: Nam Từ Liêm District | Statement: [Phương Canh Ward, isRapidlyDevelopingAreaOf, Nam Từ Liêm District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRapidlyDevelopingAreaOf Context triple: [Phương Canh Ward, isRapidlyDevelopingAreaOf, Nam Từ Liêm District]
-
A.
developedRapidlyDuring
Indicates that one entity experienced swift or accelerated development within the time period or context defined by another entity.
-
B.
isGrowthAreaFor
Indicates that a particular domain, skill, or area represents an opportunity or target for development or improvement for an entity.
-
C.
isRapidlyGrowingResidentialArea
chosen
Indicates that a location is experiencing a fast-paced increase in residential development and population density.
-
D.
isDevelopmentOf
Indicates that one entity is the development, evolution, or more advanced form derived from another entity.
-
E.
notableAreaOfDevelopment
Indicates that a particular field, domain, or aspect is a significant focus or area of development for the subject.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:01 a.m.