Triple

T12807284
Position Surface form Disambiguated ID Type / Status
Subject Bangkok rail transit network E306177 entity
Predicate connectsTo P845 FINISHED
Object Silom 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 | Statement: [Bangkok rail transit network, connectsTo, Silom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silom
Context triple: [Bangkok rail transit network, connectsTo, Silom]
  • 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. Uthai District
    Uthai District is an administrative district (amphoe) in central Thailand known for its location within Ayutthaya Province and its mix of rural communities and growing suburban areas.
  • D. Hua Lamphong–Bang Sue
    Hua Lamphong–Bang Sue is the original central segment of Bangkok’s MRT Blue Line rapid transit system, linking the historic main railway station area with the Bang Sue transport hub.
  • E. Silom Line
    The Silom Line is one of Bangkok’s main BTS Skytrain routes, running through key commercial and business districts including Silom and Sathorn.
  • 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_69f69b95e4dc8190adc0bf9154971028 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:31 p.m.