Triple

T8407565
Position Surface form Disambiguated ID Type / Status
Subject Aeroporto Enrico Forlanini E198537 entity
Predicate IATAcode P418 FINISHED
Object LIN E185050 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: LIN | Statement: [Aeroporto Enrico Forlanini, IATAcode, LIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LIN
Context triple: [Aeroporto Enrico Forlanini, IATAcode, LIN]
  • A. LIN chosen
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • B. Lin
    Lin is a common Chinese surname shared by many individuals of Chinese and East Asian descent.
  • C. Lin
    Lin is the fugitive Australian protagonist of Gregory David Roberts' novel "Shantaram," who reinvents himself in the underworld of Bombay.
  • D. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • E. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • 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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb831409308190981089c303ebaef4 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03035e148190867b60ddaeb8d761 completed April 2, 2026, 5:47 a.m.
Created at: March 30, 2026, 6:05 p.m.