Triple

T23278276
Position Surface form Disambiguated ID Type / Status
Subject Po Rome Cham Tower E588782 entity
Predicate near P350 FINISHED
Object Phan Rang city 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: Phan Rang city | Statement: [Po Rome Cham Tower, near, Phan Rang city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phan Rang city
Context triple: [Po Rome Cham Tower, near, Phan Rang city]
  • A. Phan Rang chosen
    Phan Rang is a coastal city in south-central Vietnam, known historically as a Cham cultural center and now as the capital of Ninh Thuận Province.
  • B. Cao Bang City
    Cao Bang City is a small provincial capital in northern Vietnam known as a gateway to historic revolutionary sites and scenic mountainous landscapes near the Chinese border.
  • C. Lao Cai City
    Lao Cai City is an urban center in northern Vietnam, serving as a key border city and gateway for trade and travel between Vietnam and China.
  • D. Ca Mau City
    Ca Mau City is a southern Vietnamese urban center known as the country’s southernmost city and a regional hub for fishing, agriculture, and trade in the Mekong Delta.
  • E. Kon Tum City
    Kon Tum City is a provincial capital in Vietnam’s Central Highlands known for its ethnic diversity, historical sites, and distinctive wooden Catholic church.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957991108190ac82fa6dd355f722 completed April 29, 2026, 5:22 a.m.
Created at: April 17, 2026, 4:49 p.m.