Triple

T11224967
Position Surface form Disambiguated ID Type / Status
Subject Hazara Motorway E265670 entity
Predicate hasJunctionWith P1018 FINISHED
Object M-1 Motorway E307176 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: M-1 Motorway | Statement: [Hazara Motorway, hasJunctionWith, M-1 Motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-1 Motorway
Context triple: [Hazara Motorway, hasJunctionWith, M-1 Motorway]
  • A. M-1 Motorway chosen
    The M-1 Motorway is a major Pakistani expressway connecting Islamabad and Peshawar, serving as a key segment of the national and regional transport network.
  • B. M-1 highway
    The M-1 highway is a major Russian federal road that connects Moscow with the border of Belarus as part of the international route between Moscow and Western Europe.
  • C. M-9 Motorway
    The M-9 Motorway is a major Pakistani expressway that links the cities of Karachi and Hyderabad in the province of Sindh.
  • D. O-1 motorway
    The O-1 motorway is a major urban highway in Istanbul that forms part of the city’s inner ring road system and crosses the Bosporus via the Bosporus Bridge, linking the European and Asian sides.
  • E. M-2 Motorway
    The M-2 Motorway is a major Pakistani expressway that links the cities of Islamabad and Lahore, serving as a key part of the country’s north–south transportation corridor.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ee15d4819087449058addef597 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75462fe9081908b939a1c6bdba6b9 completed May 3, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:30 p.m.