Triple

T7887026
Position Surface form Disambiguated ID Type / Status
Subject India–Pakistan border E183127 entity
Predicate hasSegment P3574 FINISHED
Object Actual Ground Position Line E375685 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: Actual Ground Position Line | Statement: [India–Pakistan border, hasSegment, Actual Ground Position Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Actual Ground Position Line
Context triple: [India–Pakistan border, hasSegment, Actual Ground Position Line]
  • A. Actual Ground Position Line chosen
    The Actual Ground Position Line is the de facto military control line between India and Pakistan in the Siachen Glacier region of the eastern Karakoram, marking the highest battlefield in the world.
  • B. S3 Line
    The S3 Line is a rapid transit route within the Nanjing Metro system in Nanjing, China.
  • C. S3 line
    The S3 line is a route of the Berlin S-Bahn urban rail network that connects various districts across the city and serves stations such as Berlin Grunewald.
  • D. S3 line
    The S3 line is a commuter rail service within the Zürich S-Bahn network that connects Zürich with its surrounding suburbs and regional destinations.
  • E. S3 line
    The S3 line is a route of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d97460819089e37169813af5c2 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b98f9b88190b25b5c23a9ae9ced completed March 31, 2026, 5:28 a.m.
Created at: March 30, 2026, 4:59 p.m.