Triple

T33735917
Position Surface form Disambiguated ID Type / Status
Subject Nong Khai railway station E864412 entity
Predicate connectsCountriesByRail P182398 FINISHED
Object Thailand–Laos
Thailand–Laos refers to the international rail and broader transport link between the neighboring Southeast Asian countries of Thailand and Laos.
 E2065213 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: Thailand–Laos | Statement: [Nong Khai railway station, connectsCountriesByRail, Thailand–Laos]
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: Thailand–Laos
Triple: [Nong Khai railway station, connectsCountriesByRail, Thailand–Laos]
Generated description
Thailand–Laos refers to the international rail and broader transport link between the neighboring Southeast Asian countries of Thailand and Laos.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: connectsCountriesByRail
Context triple: [Nong Khai railway station, connectsCountriesByRail, Thailand–Laos]
  • A. hasBorderRailConnectionWith chosen
    Indicates that two places are directly connected to each other by a cross-border railway line or service.
  • B. connectsToTransportCorridor
    Indicates that one entity has a direct linkage or access route to a designated transport corridor (such as a road, rail line, or similar transit pathway).
  • C. railwayConnectsTo
    Indicates that one railway line, track, or network is directly linked or joined to another, allowing trains to move between them.
  • D. railNetworkCountry
    Indicates that a rail network is located within, or primarily serves, a specific country.
  • E. hasPassengerRailConnection
    Indicates that there exists a passenger rail service linking one location or transport node to another.
  • 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_69f3498b24b8819096a65009e521d0e1 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff27b125948190aced0fe0189fd39a completed May 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a365c83744081909481fa252ac06e3f completed June 20, 2026, 9:25 a.m.
NEDg Description generation batch_6a365da4c1ac81908efaf06a0693eb33 completed June 20, 2026, 9:30 a.m.
NED2 Entity disambiguation (via description) batch_6a365e7256e881908c84b71fd26f8b22 completed June 20, 2026, 9:33 a.m.
PD Predicate disambiguation batch_69ff26c30a0481909ef6a54ded851e42 completed May 9, 2026, 12:21 p.m.
Created at: May 1, 2026, 1:44 a.m.