Triple

T18963981
Position Surface form Disambiguated ID Type / Status
Subject Makran Range E463982 entity
Predicate near P350 FINISHED
Object Ormara NE NERFINISHED

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: Ormara | Statement: [Makran Range, near, Ormara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ormara
Context triple: [Makran Range, near, Ormara]
  • A. Ormara chosen
    Ormara is a coastal town in Pakistan’s Balochistan province that hosts a strategically important naval base of the Pakistan Navy along the Arabian Sea.
  • B. Stromness
    Stromness is a historic harbor town on the southwest coast of Orkney Mainland in Scotland, known for its stone-built waterfront and maritime heritage.
  • C. Shippagan
    Shippagan is a small coastal town in northeastern New Brunswick, Canada, known for its strong Acadian heritage and fishing and aquaculture industries.
  • D. Glassford
    Glassford is a small rural village in South Lanarkshire, Scotland, known for its historic church and scenic countryside setting.
  • E. Scarinish
    Scarinish is the main village and ferry port on the Isle of Tiree in Scotland’s Inner Hebrides.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon