Triple
T10172515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thanh Da Island |
E235364
|
entity |
| Predicate | belongsToCityRegion |
P37938
|
FINISHED |
| Object | inner-city area of Ho Chi Minh City |
—
|
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: inner-city area of Ho Chi Minh City | Statement: [Thanh Da Island, belongsToCityRegion, inner-city area of Ho Chi Minh City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCityRegion Context triple: [Thanh Da Island, belongsToCityRegion, inner-city area of Ho Chi Minh City]
-
A.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with another entity.
-
B.
regionOfCity
chosen
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
C.
cityServedRegion
Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
-
D.
belongsToDepartmentCapitalRegion
Indicates that an entity is part of, or administratively assigned to, the capital region of a department.
-
E.
placeRegion
Indicates that a place is located within, or is part of, a larger geographic or administrative region.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.