Triple

T13294829
Position Surface form Disambiguated ID Type / Status
Subject Lat Krabang station E316653 entity
Predicate adjacentTo P224 FINISHED
Object Ban Thap Chang station E314967 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: Ban Thap Chang station | Statement: [Lat Krabang station, adjacentTo, Ban Thap Chang station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ban Thap Chang station
Context triple: [Lat Krabang station, adjacentTo, Ban Thap Chang station]
  • A. Ban Thap Chang station chosen
    Ban Thap Chang station is a rail stop in Bangkok served by the Airport Rail Link, providing commuter and airport access along the city–Suvarnabhumi Airport corridor.
  • B. Ramkhamhaeng station
    Ramkhamhaeng station is a Bangkok railway station on the Airport Rail Link line that connects the city center with Suvarnabhumi Airport.
  • C. Wutthakat station
    Wutthakat station is an elevated BTS Skytrain station in Bangkok, Thailand, serving the Silom Line in the Thonburi area.
  • D. Chong Nonsi station
    Chong Nonsi station is an elevated BTS Skytrain station in Bangkok’s central business district, serving the Silom Line and providing access to major office towers and commercial areas.
  • E. Sala Daeng Station
    Sala Daeng Station is a major elevated BTS Skytrain station in central Bangkok, serving as a key transit hub near the Silom business and entertainment district.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99079c8508190b6208db9affcbc0e completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7546e0b148190a78e6da408347690 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:28 p.m.