Triple

T9714786
Position Surface form Disambiguated ID Type / Status
Subject Dublin Port E235111 entity
Predicate near P350 FINISHED
Object Dublin Airport E28419 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: Dublin Airport | Statement: [Dublin Port, near, Dublin Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin Airport
Context triple: [Dublin Port, near, Dublin Airport]
  • A. Dublin Airport chosen
    Dublin Airport is Ireland’s busiest international airport, serving as a major European hub for passenger and low-cost airline traffic.
  • B. Cork Airport
    Cork Airport is an international airport in County Cork, Ireland, serving as a key regional gateway and a secondary hub for Aer Lingus.
  • C. Belfast International Airport
    Belfast International Airport is a major passenger and cargo airport in Northern Ireland, serving as one of the primary air travel hubs for the Belfast region and beyond.
  • D. Ireland West Airport Knock
    Ireland West Airport Knock is a regional international airport in western Ireland that serves as a key air travel hub for County Mayo and the surrounding region.
  • E. Belfast City Airport
    Belfast City Airport is a regional airport serving Belfast, Northern Ireland, located close to the city centre and handling mainly domestic UK and short-haul European flights.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0a1b548190b34c8571751ca1d3 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f900ca08190a52f042feab2afa3 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:19 p.m.