Triple

T2772244
Position Surface form Disambiguated ID Type / Status
Subject BTS Skytrain E61481 entity
Predicate notableStation P3858 FINISHED
Object Bang Wa Station
Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
 E303932 NE FINISHED

How this triple was built (4 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: Bang Wa Station | Statement: [BTS Skytrain, notableStation, Bang Wa Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bang Wa Station
Context triple: [BTS Skytrain, notableStation, Bang Wa Station]
  • A. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Chebei South Station
    Chebei South Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Kitasando Station
    Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
  • E. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bang Wa Station
Triple: [BTS Skytrain, notableStation, Bang Wa Station]
Generated description
Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bang Wa Station
Target entity description: Bang Wa Station is a major Bangkok Mass Transit System (BTS) Skytrain terminal and interchange in western Bangkok, serving as a key transit hub connecting the city’s rail and bus networks.
  • A. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Chebei South Station
    Chebei South Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Kitasando Station
    Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
  • E. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • F. None of above. chosen

Provenance (5 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe89b94848190946abef7216339be completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afe92b8c4c8190a91c1e8564f412ad completed March 10, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69b008cbabc4819090cc20cf990d16e6 completed March 10, 2026, 12:04 p.m.
Created at: March 6, 2026, 9:57 p.m.