Triple

T8659813
Position Surface form Disambiguated ID Type / Status
Subject Gannavaram E205517 entity
Predicate hasAirport P105 FINISHED
Object Vijayawada Airport E174103 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: Vijayawada Airport | Statement: [Gannavaram, hasAirport, Vijayawada Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijayawada Airport
Context triple: [Gannavaram, hasAirport, Vijayawada Airport]
  • A. Vijayawada Airport chosen
    Vijayawada Airport is a domestic and international airport serving the city of Vijayawada and the surrounding region in the Indian state of Andhra Pradesh.
  • B. Tirupati Airport
    Tirupati Airport is a regional airport in Andhra Pradesh, India, serving the pilgrimage city of Tirupati and providing air connectivity for visitors to the nearby Tirumala Venkateswara Temple.
  • C. Visakhapatnam Airport
    Visakhapatnam Airport is a major international and domestic airport serving the coastal city of Visakhapatnam in the Indian state of Andhra Pradesh.
  • D. Kalaburagi Airport
    Kalaburagi Airport is a domestic airport serving the city of Kalaburagi in Karnataka, India, providing regional air connectivity to the area.
  • E. Rajahmundry Airport
    Rajahmundry Airport is a domestic airport in Andhra Pradesh, India, serving the city of Rajahmundry and surrounding regions with regional air connectivity.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48701c748190a5f7bd9e2da0e5e9 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccf559c4819089dfb8d6b11de1df completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.