Triple
T9191909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phu Nhuan District |
E220610
|
entity |
| Predicate | hasConvenientAccessTo |
P85349
|
FINISHED |
| Object | Ho Chi Minh City center |
—
|
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: Ho Chi Minh City center | Statement: [Phu Nhuan District, hasConvenientAccessTo, Ho Chi Minh City center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConvenientAccessTo Context triple: [Phu Nhuan District, hasConvenientAccessTo, Ho Chi Minh City center]
-
A.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
B.
hasUrbanAccess
chosen
Indicates that an entity has access to urban areas, services, or infrastructure.
-
C.
hasAmenityAccessTo
Indicates that an entity has the right or ability to use or benefit from a specified amenity or facility.
-
D.
hasMotorVehicleAccess
Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
-
E.
hasNoDirectRoadAccess
Indicates that there is no direct road connection available between the relevant locations or entities.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5c077b4819086c74e91ee4bd75e |
completed | April 1, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.