Triple

T16799049
Position Surface form Disambiguated ID Type / Status
Subject Southern Balochistan E408306 entity
Predicate majorTown P316 FINISHED
Object Pasni E628974 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: Pasni | Statement: [Southern Balochistan, majorTown, Pasni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pasni
Context triple: [Southern Balochistan, majorTown, Pasni]
  • A. Pasni chosen
    Pasni is a coastal town in Pakistan’s Balochistan province that serves as a strategically important naval base and fishing port on the Arabian Sea.
  • B. Pasil
    Pasil is a rural municipality in the mountainous province of Kalinga in the Philippines, known for its indigenous communities and rice-terraced landscapes.
  • C. Paskhas
    Paskhas is the Indonesian Air Force’s elite special forces corps, specializing in airfield security, airborne operations, and air defense missions.
  • D. Pašman
    Pašman is a Croatian island and municipality in the Adriatic Sea, known for its picturesque coastline, traditional villages, and proximity to the city of Zadar.
  • E. Parnis
    Parnis is an alternative name for Parnes, which may refer to various places or entities sharing that designation.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2abc430819080c1303eded5f416 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.