Triple

T12288641
Position Surface form Disambiguated ID Type / Status
Subject Bin Qasim Town E292895 entity
Predicate hasNearby P350 FINISHED
Object Port Qasim E56979 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: Port Qasim | Statement: [Bin Qasim Town, hasNearby, Port Qasim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Qasim
Context triple: [Bin Qasim Town, hasNearby, Port Qasim]
  • A. Port Qasim chosen
    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.
  • B. Navlakhi Port
    Navlakhi Port is a minor commercial seaport in Gujarat, India, serving as a regional hub for handling bulk cargo along the Gulf of Kutch.
  • C. Adabiya Port
    Adabiya Port is a commercial seaport on Egypt’s Red Sea coast that serves as a key hub for handling general cargo and bulk goods.
  • D. Kalabahi Port
    Kalabahi Port is the main seaport and maritime gateway serving the island and regency of Alor in East Nusa Tenggara, Indonesia.
  • E. Qeshm port
    Qeshm port is a key maritime hub on Iran’s Qeshm Island in the Persian Gulf, serving regional trade, transport, and tourism.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d21692481908c97edc3d602f1d5 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e752f3c8190ba0e273f3e41a321 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.