Triple

T12500454
Position Surface form Disambiguated ID Type / Status
Subject Sala Daeng Station E298805 entity
Predicate serves P98 FINISHED
Object Silom business district E988640 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: Silom business district | Statement: [Sala Daeng Station, serves, Silom business district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silom business district
Context triple: [Sala Daeng Station, serves, Silom business district]
  • A. Silom business district chosen
    Silom business district is a major commercial and financial hub in central Bangkok, known for its office towers, banks, hotels, and vibrant nightlife.
  • B. Silom Complex
    Silom Complex is a popular multi-story shopping mall in Bangkok’s Silom district, featuring retail stores, restaurants, and entertainment venues.
  • C. Dusit District, Bangkok
    Dusit District, Bangkok is a central administrative area of Thailand’s capital city that houses key government institutions and royal residences.
  • D. Siam Square
    Siam Square is a bustling commercial and entertainment district in central Bangkok known for its shopping, dining, and youth-oriented culture.
  • E. Chatuchak District
    Chatuchak District is a major area in northern Bangkok, Thailand, known for its vast public park, transport hubs, and the famous Chatuchak Weekend Market.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfbb2a48190a231b02cfa990565 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6a590881908b0fe779f3698ea2 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:57 p.m.