Triple

T33088237
Position Surface form Disambiguated ID Type / Status
Subject Ha Tien E846701 entity
Predicate borderGateTo P150036 FINISHED
Object Prek Chak (Cambodia)
Prek Chak (Cambodia) is a border crossing point in southwestern Cambodia that connects the country by land with Ha Tien in Vietnam.
E2035642 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: Prek Chak (Cambodia) | Statement: [Ha Tien, borderGateTo, Prek Chak (Cambodia)]
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: Prek Chak (Cambodia)
Triple: [Ha Tien, borderGateTo, Prek Chak (Cambodia)]
Generated description
Prek Chak (Cambodia) is a border crossing point in southwestern Cambodia that connects the country by land with Ha Tien in Vietnam.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borderGateTo
Context triple: [Ha Tien, borderGateTo, Prek Chak (Cambodia)]
  • A. borderStationFor
    Indicates that a particular border station serves, monitors, or is responsible for a specific border crossing or boundary segment.
  • 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. borderPass
    Indicates that one entity crosses or moves through the boundary separating two regions or jurisdictions.
  • D. borderOpening
    Indicates that a border between two regions is being opened or made accessible for crossing or interaction.
  • E. includesBorderGate chosen
    Indicates that one entity contains or features a gate located at or forming part of its border or boundary.
  • 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_69f34954d46c8190a04a159cc5f99efd completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a34f024d5fc81908bd7f0e15219db40 completed June 19, 2026, 7:30 a.m.
NEDg Description generation batch_6a34f36df55881909fcc31f8e57e3d37 completed June 19, 2026, 7:44 a.m.
NED2 Entity disambiguation (via description) batch_6a34f52a88108190a0d7a1c0e1d70488 completed June 19, 2026, 7:52 a.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
Created at: May 1, 2026, 1:26 a.m.