Triple

T16464207
Position Surface form Disambiguated ID Type / Status
Subject Phuket Province E399886 entity
Predicate hasTown P847 FINISHED
Object Chalong E1214565 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: Chalong | Statement: [Phuket Province, hasTown, Chalong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chalong
Context triple: [Phuket Province, hasTown, Chalong]
  • A. Chalong chosen
    Chalong is a subdistrict in Phuket, Thailand, known for its popular Buddhist temple Wat Chalong and its role as a gateway to nearby beaches and islands.
  • B. Yecheng
    Yecheng was an important ancient Chinese city that served as a major political and cultural center in northern China during several dynasties.
  • C. Jinghong
    Jinghong is a city in southern Yunnan, China, known as a major urban center in the Xishuangbanna region and an important stop along the Mekong (Lancang) River corridor.
  • D. Shigatse
    Shigatse is a major city and prefecture-level administrative region in southwestern Tibet, known as an important cultural and religious center and the traditional seat of the Panchen Lama.
  • E. Tengchong
    Tengchong is a historic county-level city in western Yunnan, China, known for its volcanic landscapes, hot springs, and role as a key stop on the ancient Southwestern Silk Road.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d83687081908450657e1da6f6af completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581a11e881908681f68c26ee6a05 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.