Triple

T14025895
Position Surface form Disambiguated ID Type / Status
Subject Operation Python (1971) E337454 entity
Predicate target P860 FINISHED
Object Karachi harbour E76591 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: Karachi harbour | Statement: [Operation Python (1971), target, Karachi harbour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karachi harbour
Context triple: [Operation Python (1971), target, Karachi harbour]
  • A. Karachi Fish Harbour
    Karachi Fish Harbour is a major fishing port and seafood market complex in Karachi, Pakistan, serving as a central hub for the city’s marine fishing industry.
  • B. Port of Karachi chosen
    The Port of Karachi is Pakistan’s largest and busiest seaport, serving as a major hub for the country’s international trade and maritime activity.
  • C. Karachi coastline
    The Karachi coastline is a prominent stretch of Arabian Sea shoreline in Pakistan’s largest city, known for its urban beaches, recreational spots, and economic and maritime significance.
  • D. Gwadar Bay
    Gwadar Bay is a shallow, strategically located bay on the Arabian Sea along the coasts of southwestern Pakistan and southeastern Iran.
  • E. Port Qasim
    Port Qasim is Pakistan’s second-busiest deep-sea commercial port and a major industrial and shipping hub located near Karachi on the Arabian Sea.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa6ca7481908976ce748a1957b1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33170ec8190b0ffe41a567a590b completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:20 p.m.