Triple

T22628611
Position Surface form Disambiguated ID Type / Status
Subject Savannakhet Province E558488 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Savannakhet 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: Savannakhet city | Statement: [Savannakhet Province, hasUrbanCenter, Savannakhet city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savannakhet city
Context triple: [Savannakhet Province, hasUrbanCenter, Savannakhet city]
  • A. Savannakhet city chosen
    Savannakhet city is the capital and largest urban center of Savannakhet Province in southern Laos, known as a commercial hub along the Mekong River near the Thai border.
  • B. Maha Sarakham
    Maha Sarakham is a provincial capital city in northeastern Thailand known as an educational hub with several universities and colleges.
  • C. Muang Khoun
    Muang Khoun is a historic town in northern Laos that once served as the royal and administrative center of the Phuan kingdom and remains known for its ancient temples and war-scarred heritage.
  • D. Muang Kham
    Muang Kham is a small town in northeastern Laos known as a gateway to the Plain of Jars and surrounding mountainous countryside.
  • E. Muang Long
    Muang Long is a rural district-level town in northwestern Laos known for its ethnic diversity and remote, mountainous landscapes.
  • 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_69e245467d9881908d6985bd0db7a1f1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f16e3ed1d48190a093013d829901b9 completed April 29, 2026, 2:34 a.m.
Created at: April 17, 2026, 3:02 p.m.