Triple

T37169602
Position Surface form Disambiguated ID Type / Status
Subject Silom area, Bang Rak E920873 entity
Predicate MRTStationServing P28508 FINISHED
Object Si Lom Station
Si Lom Station is an underground MRT station in Bangkok that serves the busy commercial and business district around Silom in Bang Rak.
 E2215875 NE FINISHED

How this triple was built (3 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: Si Lom Station | Statement: [Silom area, Bang Rak, MRTStationServing, Si Lom Station]
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: Si Lom Station
Triple: [Silom area, Bang Rak, MRTStationServing, Si Lom Station]
Generated description
Si Lom Station is an underground MRT station in Bangkok that serves the busy commercial and business district around Silom in Bang Rak.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: MRTStationServing
Context triple: [Silom area, Bang Rak, MRTStationServing, Si Lom Station]
  • A. subwayStation chosen
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • B. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • C. subwayServices
    Indicates that one entity provides or operates subway transportation services for another entity or area.
  • D. urbanRailway
    Indicates a relationship where a railway system operates within or primarily serves an urban or metropolitan area.
  • E. urbanRailHubFor
    Indicates that a location functions as a central node or interchange point within an urban rail network for a given area or set of lines.
  • F. None of above.

Provenance (6 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_69f76ea16f288190b445aa1604d996f4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb55de3b9c8190a7656aeab3c3ffbc completed May 6, 2026, 2:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402bbf194881908fcf20156abdbb3a completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402e11ca90819091b7bbc444aeb33e completed June 27, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a402fa5d5bc81908c72f41f35c123e9 completed June 27, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69fb35bc92e08190bff447624e2df791 completed May 6, 2026, 12:36 p.m.
Created at: May 3, 2026, 4:15 p.m.