Triple

T7677074
Position Surface form Disambiguated ID Type / Status
Subject Golden Triangle region E173888 entity
Predicate notableTown P14082 FINISHED
Object Tachileik E680726 NE 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: Tachileik | Statement: [Golden Triangle region, notableTown, Tachileik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachileik
Context triple: [Golden Triangle region, notableTown, Tachileik]
  • A. Tachileik chosen
    Tachileik is a town in eastern Myanmar’s Shan State, situated on the border with Thailand and serving as a major cross-border trade and travel gateway.
  • B. Taunggyi
    Taunggyi is a major city in eastern Myanmar known as an administrative, cultural, and commercial center in the Shan region.
  • C. Mae Sai
    Mae Sai is a northern Thai town in Chiang Rai Province known as a major border crossing and trading hub with Myanmar.
  • D. Viengxay
    Viengxay is a town in northeastern Laos renowned for its extensive cave system that served as the Pathet Lao’s underground stronghold during the Laotian Civil War.
  • E. Phek
    Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701fbb4788190adf1e2d39be358c1 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9af1c081908b0e100390258eaa completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4:01 p.m.