Triple

T14432847
Position Surface form Disambiguated ID Type / Status
Subject New Georgia E357877 entity
Predicate hasAirport P105 FINISHED
Object Munda Airport E1107532 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: Munda Airport | Statement: [New Georgia, hasAirport, Munda Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Munda Airport
Context triple: [New Georgia, hasAirport, Munda Airport]
  • A. Munda Airport chosen
    Munda Airport is a small regional airport in Munda, Solomon Islands, serving as a key domestic aviation hub and gateway to the Western Province.
  • B. Amausi Airport
    Amausi Airport is the former name of Chaudhary Charan Singh International Airport, the main airport serving Lucknow in the Indian state of Uttar Pradesh.
  • C. Kambalda Airport
    Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
  • D. Milikapiti Airport
    Milikapiti Airport is a small regional airfield serving the remote community of Milikapiti on Melville Island in Australia's Northern Territory.
  • E. Buala Airport
    Buala Airport is a small regional airfield serving the town of Buala on Santa Isabel Island in the Solomon Islands.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91471a648190adb7b283a6a85c3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16198488190ad69eeebd09c45da completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:18 a.m.