Triple

T7271231
Position Surface form Disambiguated ID Type / Status
Subject Santa Cruz Islands E161106 entity
Predicate transport P230 FINISHED
Object served by Lata Airport E487756 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: served by Lata Airport | Statement: [Santa Cruz Islands, transport, served by Lata Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: served by Lata Airport
Context triple: [Santa Cruz Islands, transport, served by Lata Airport]
  • A. Lata Airport chosen
    Lata Airport is a small regional airfield serving the town of Lata in the Solomon Islands, providing vital air connectivity to this remote area.
  • B. Kheria Airport
    Kheria Airport is a domestic and military airfield serving the city of Agra in Uttar Pradesh, India, located near the Taj Mahal and operated jointly by the Indian Air Force and civil aviation authorities.
  • C. Akola Airport
    Akola Airport is a domestic airport serving the city of Akola in Maharashtra, India, primarily handling regional air traffic.
  • D. Ghat Airport
    Ghat Airport is a small regional airport serving the town of Ghat in southwestern Libya, primarily handling domestic flights.
  • E. Khajuraho Airport
    Khajuraho Airport is a domestic airport in Madhya Pradesh, India, serving the town of Khajuraho and its famous UNESCO-listed temple complex.
  • 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0a03888190b5aa1da80dd303c5 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db25658481909fc8cf86deb436a4 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 2:58 p.m.