Triple
T10148441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanoi urban road network |
E231766
|
entity |
| Predicate | expandsTowards |
P8787
|
FINISHED |
| Object | peri-urban areas 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: peri-urban areas of Hanoi | Statement: [Hanoi urban road network, expandsTowards, peri-urban areas of Hanoi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandsTowards Context triple: [Hanoi urban road network, expandsTowards, peri-urban areas of Hanoi]
-
A.
expansionAlongside
Indicates that one entity expands or grows in parallel with, and in relation to, the expansion of another entity.
-
B.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
C.
expandsTo
Indicates that one entity unfolds, develops, or is elaborated into another, typically more detailed or extensive, representation or form.
-
D.
expandsIn
chosen
Indicates that one entity grows, spreads, or extends its presence or influence within the space, scope, or context defined by another entity.
-
E.
expandsAccordingTo
Indicates that one entity increases in size, scope, or extent in a manner determined or governed by another specified factor, rule, or pattern.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec024da481908b8170fcf3b18e67 |
completed | April 2, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:08 p.m.