Triple

T25115308
Position Surface form Disambiguated ID Type / Status
Subject Quetta–Chaman corridor E629110 entity
Predicate borderPoint P43807 FINISHED
Object Wesh–Chaman border area
The Wesh–Chaman border area is a major Afghanistan–Pakistan frontier crossing and trade gateway linking the Afghan town of Wesh with the Pakistani town of Chaman in Balochistan.
 E1664093 NE FINISHED

How this triple was built (2 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: Wesh–Chaman border area | Statement: [Quetta–Chaman corridor, borderPoint, Wesh–Chaman border area]
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: Wesh–Chaman border area
Triple: [Quetta–Chaman corridor, borderPoint, Wesh–Chaman border area]
Generated description
The Wesh–Chaman border area is a major Afghanistan–Pakistan frontier crossing and trade gateway linking the Afghan town of Wesh with the Pakistani town of Chaman in Balochistan.

Provenance (5 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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465c66cc48190b66b14e4b9036432 completed May 1, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048f6b5008190bd3d0d9c5ee43cb6 completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104c201d98819097c0f6f6d356b063 completed May 22, 2026, 12:29 p.m.
NED2 Entity disambiguation (via description) batch_6a104c8588e88190b731de55afbeca52 completed May 22, 2026, 12:31 p.m.
Created at: April 18, 2026, 6:27 a.m.