Triple

T30724851
Position Surface form Disambiguated ID Type / Status
Subject Bukit Kayu Hitam E782249 entity
Predicate borderGateNameInThaiSide P197357 FINISHED
Object Sadao checkpoint
Sadao checkpoint is a major land border crossing between Thailand and Malaysia, located in Thailand’s Songkhla Province opposite Bukit Kayu Hitam in Malaysia.
E1928792 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: Sadao checkpoint | Statement: [Bukit Kayu Hitam, borderGateNameInThaiSide, Sadao checkpoint]
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: Sadao checkpoint
Triple: [Bukit Kayu Hitam, borderGateNameInThaiSide, Sadao checkpoint]
Generated description
Sadao checkpoint is a major land border crossing between Thailand and Malaysia, located in Thailand’s Songkhla Province opposite Bukit Kayu Hitam in Malaysia.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderGateNameInThaiSide
Context triple: [Bukit Kayu Hitam, borderGateNameInThaiSide, Sadao checkpoint]
  • A. borderPostName
    Indicates the specific name assigned to a border post where a boundary crossing or checkpoint is located.
  • B. borderStation
    Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
  • C. borderStationFor
    Indicates that a particular border station serves, monitors, or is responsible for a specific border crossing or boundary segment.
  • D. borderCrossingNameInArabic
    Indicates the Arabic-language name assigned to a specific border crossing.
  • E. borderControlDirection
    Indicates the direction in which border control procedures are applied or enforced between two locations or jurisdictions.
  • F. None of above. chosen

Provenance (7 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_69f224ad9f9c81908e02a79ae0001137 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe8ddf70e48190a917eb9e8f7b6966 completed May 9, 2026, 1:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28990dd09081909b6069fd4d180873 completed June 9, 2026, 10:51 p.m.
NEDg Description generation batch_6a2899a6b1488190add895dfe8a2f52f completed June 9, 2026, 10:54 p.m.
NED2 Entity disambiguation (via description) batch_6a289aff92fc81908aecbb572c0250c1 completed June 9, 2026, 11 p.m.
PD Predicate disambiguation batch_69fe87ef94dc81909bb00ec8d6de9bcd completed May 9, 2026, 1:03 a.m.
PDg Predicate description generation batch_69fe8dde8d008190b03dc0f97618073c completed May 9, 2026, 1:29 a.m.
Created at: April 29, 2026, 8:36 p.m.