Triple

T12808233
Position Surface form Disambiguated ID Type / Status
Subject MRT Pink Line E306199 entity
Predicate region P40 FINISHED
Object Greater Bangkok E297261 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: Greater Bangkok | Statement: [MRT Pink Line, region, Greater Bangkok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Bangkok
Context triple: [MRT Pink Line, region, Greater Bangkok]
  • A. Bangkok Metropolitan Region chosen
    The Bangkok Metropolitan Region is Thailand’s largest urban agglomeration, centered on the capital city of Bangkok and encompassing its surrounding provinces as a major political, economic, and cultural hub.
  • B. Bangkok Province
    Bangkok Province is Thailand’s capital and most populous urban province, serving as the country’s political, economic, and cultural center.
  • C. Bangkok
    Bangkok is the vibrant capital and largest city of Thailand, known for its bustling street life, ornate temples, and role as a major economic and cultural hub in Southeast Asia.
  • D. Hat Yai
    Hat Yai is a major commercial and transportation hub city in southern Thailand, known for its bustling markets and proximity to the Malaysian border.
  • E. central Bangkok
    Central Bangkok is the bustling core of Thailand’s capital city, known for its dense mix of commercial districts, shopping centers, cultural landmarks, and major transport hubs.
  • 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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7a9e6c81908ae78daace02e7ec completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 5:31 p.m.