Triple
T29151560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pham Dinh Ho Ward |
E738921
|
entity |
| Predicate | centralityWithinCity |
P41403
|
FINISHED |
| Object | central area of Hanoi |
—
|
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: central area of Hanoi | Statement: [Pham Dinh Ho Ward, centralityWithinCity, central area of Hanoi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralityWithinCity Context triple: [Pham Dinh Ho Ward, centralityWithinCity, central area of Hanoi]
-
A.
connectsToUrbanCenter
Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
-
B.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
C.
urbanCenterServed
Indicates that a particular urban center is provided with services or coverage by a specified entity (such as an infrastructure system, facility, or organization).
-
D.
isCentralLocalityOf
chosen
Indicates that a locality serves as the main or central place within a larger administrative or geographic area.
-
E.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
- 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_69f07cb46f148190874eb8576a447567 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 11:42 a.m.