Triple

T15287300
Position Surface form Disambiguated ID Type / Status
Subject RAJ E365433 entity
Predicate represents P129 FINISHED
Object Rajkot Airport E74212 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: Rajkot Airport | Statement: [RAJ, represents, Rajkot Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajkot Airport
Context triple: [RAJ, represents, Rajkot Airport]
  • A. Rajkot Airport chosen
    Rajkot Airport is a domestic airport serving the city of Rajkot and surrounding regions in the Indian state of Gujarat.
  • B. Vadodara Airport
    Vadodara Airport is a domestic airport in the city of Vadodara, India, serving as one of the key air transport hubs in the state of Gujarat.
  • C. Kolhapur Airport
    Kolhapur Airport is a regional airport in Maharashtra, India, serving the city of Kolhapur and its surrounding areas with domestic air connectivity.
  • D. Bhavnagar airport
    Bhavnagar Airport is a domestic airport in Gujarat, India, serving the city of Bhavnagar and its surrounding region with scheduled commercial flights.
  • E. Kandla Airport
    Kandla Airport is a domestic airport in Gujarat, India, serving the port city of Kandla and the nearby town of Gandhidham.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e551bb0819094db097285443740 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b39b6f88190ac9d6532e99fda31 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:15 a.m.