Triple

T27329832
Position Surface form Disambiguated ID Type / Status
Subject Trat Province E689764 entity
Predicate borderCheckpointWithCambodia P46215 FINISHED
Object Hat Lek Border Crossing
Hat Lek Border Crossing is a key land checkpoint between eastern Thailand and Cambodia, serving as an important gateway for trade and tourism near the Gulf of Thailand.
 E1767378 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: Hat Lek Border Crossing | Statement: [Trat Province, borderCheckpointWithCambodia, Hat Lek Border Crossing]
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: Hat Lek Border Crossing
Triple: [Trat Province, borderCheckpointWithCambodia, Hat Lek Border Crossing]
Generated description
Hat Lek Border Crossing is a key land checkpoint between eastern Thailand and Cambodia, serving as an important gateway for trade and tourism near the Gulf of Thailand.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: borderCheckpointWithCambodia
Context triple: [Trat Province, borderCheckpointWithCambodia, Hat Lek Border Crossing]
  • A. borderStation chosen
    Indicates a facility or checkpoint located at or near a border where cross-boundary movement, control, or processing of people or goods occurs.
  • B. borderTradePointWith
    Indicates a location or facility where trade or commercial exchange occurs between two bordering regions or countries.
  • C. borderPass
    Indicates that one entity crosses or moves through the boundary separating two regions or jurisdictions.
  • D. borderTownAcrossBorder
    Indicates that a town lies on one side of a border directly opposite or adjacent to a town on the other side of that border.
  • E. borderStationFor
    Indicates that a particular border station serves, monitors, or is responsible for a specific border crossing or boundary segment.
  • 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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cbff49c81909578b0db8b97a44a completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129e8754448190bc4e39b12e496e7e completed May 24, 2026, 6:45 a.m.
NED2 Entity disambiguation (via description) batch_6a129f15d7d88190b77b62c095dbd4d4 completed May 24, 2026, 6:47 a.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
Created at: April 27, 2026, 11:37 a.m.