Triple
T26525941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hlegu Township |
E670687
|
entity |
| Predicate | isPeriUrbanHinterlandOf |
P110494
|
FINISHED |
| Object | Yangon |
—
|
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: Yangon | Statement: [Hlegu Township, isPeriUrbanHinterlandOf, Yangon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPeriUrbanHinterlandOf Context triple: [Hlegu Township, isPeriUrbanHinterlandOf, Yangon]
-
A.
hasRuralHinterland
Indicates that a place or urban area is associated with and served by a surrounding rural region that supports it economically, socially, or functionally.
-
B.
isSuburbanRuralFringeOf
chosen
Indicates that one area lies on the outer edge or transition zone between a suburban region and the surrounding rural countryside of another area.
-
C.
isUrbanizedAround
Indicates that an area or region has developed urban characteristics or infrastructure surrounding a particular location or feature.
-
D.
isUrbanLocality
Indicates that a place is classified as an urban settlement or locality, as opposed to a rural area.
-
E.
hasPeriUrbanPopulation
Indicates that an entity has a population living in peri-urban areas, i.e., zones at the transition between urban and rural regions.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f613c628008190b4676558dcf17d65 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:31 a.m.