Triple

T7676813
Position Surface form Disambiguated ID Type / Status
Subject Myawaddy E173880 entity
Predicate roadConnectionTo P9041 FINISHED
Object Mae Sot E32257 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: Mae Sot | Statement: [Myawaddy, roadConnectionTo, Mae Sot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mae Sot
Context triple: [Myawaddy, roadConnectionTo, Mae Sot]
  • A. Mae Sot chosen
    Mae Sot is a Thai border town in Tak Province known as a major hub for cross-border trade and migration with Myanmar and for its numerous refugee and humanitarian aid organizations.
  • B. Thongduang
    Thongduang was the birth name of King Rama I of Siam, the founder and first monarch of Thailand’s Chakri Dynasty.
  • C. Lao Phra Lak Phra Lam
    Lao Phra Lak Phra Lam is the Lao national epic, a localized adaptation of the Indian Ramayana that reflects Lao culture, religion, and literary tradition.
  • D. Tonsawang
    Tonsawang is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia.
  • E. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • 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_69c8c7b8b1fc8190a3c81c0ee018bb97 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:01 p.m.