Triple

T27323466
Position Surface form Disambiguated ID Type / Status
Subject Myanmar–Laos border E689574 entity
Predicate crossingConnectsTownInMyanmar P85286 FINISHED
Object Kenglap
Kenglap is a town in Myanmar located near the Myanmar–Laos border that serves as a key local border-crossing point between the two countries.
 E1767739 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: Kenglap | Statement: [Myanmar–Laos border, crossingConnectsTownInMyanmar, Kenglap]
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: Kenglap
Triple: [Myanmar–Laos border, crossingConnectsTownInMyanmar, Kenglap]
Generated description
Kenglap is a town in Myanmar located near the Myanmar–Laos border that serves as a key local border-crossing point between the two countries.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: crossingConnectsTownInMyanmar
Context triple: [Myanmar–Laos border, crossingConnectsTownInMyanmar, Kenglap]
  • A. hasBorderTownOnMyanmarSide chosen
    Indicates that a town is located on the Myanmar side of a border shared with another country.
  • B. distanceFromMawlamyine_km
    Indicates the distance, measured in kilometers, between a given place or entity and Mawlamyine.
  • C. crossingOf
    Indicates that one entity serves as the intersection or crossing point of two or more linear features, such as roads, paths, or tracks.
  • D. connectsInlandToBorder
    Indicates that an inland location is linked or provides a route to a border location.
  • E. connectedToMainlandBy
    Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
  • 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_69f674e06c9481909ed0ea736408f0d7 completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cbc4d0081908c9702539766bf16 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129dc563e081909b6e07e29aad6ddb completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e5f7e348190af4a279de8ef8caa completed May 24, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69f673c2f81c8190bf369226306eef09 completed May 2, 2026, 9:59 p.m.
Created at: April 27, 2026, 11:34 a.m.