Triple

T30584524
Position Surface form Disambiguated ID Type / Status
Subject Pyay Road E778468 entity
Predicate locatedOnStreetNetworkOf P200661 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: [Pyay Road, locatedOnStreetNetworkOf, Yangon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedOnStreetNetworkOf
Context triple: [Pyay Road, locatedOnStreetNetworkOf, Yangon]
  • A. locatedInTheStreetSystemOf chosen
    Indicates that one entity (such as a street, address, or road segment) is part of or situated within the street network or street system of another entity (such as a city, district, or region).
  • B. streetNetworkIncludes
    Indicates that a given street network contains or encompasses a specified street segment, feature, or component as part of its structure.
  • C. locatedBetweenStreets
    Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
  • D. locatedAlong
    Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
  • E. streetNetwork
    Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
  • 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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a00ccadb6908190ab810a7c05315fa8 completed May 10, 2026, 6:21 p.m.
PD Predicate disambiguation batch_6a00cc0f86b88190a0d2c43618558f86 completed May 10, 2026, 6:18 p.m.
Created at: April 29, 2026, 8:23 p.m.