Triple

T1587676
Position Surface form Disambiguated ID Type / Status
Subject Seattle–Tacoma International Airport E34102 entity
Predicate FAAcode P420 FINISHED
Object SEA E180553 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: SEA | Statement: [Seattle–Tacoma International Airport, FAAcode, SEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SEA
Context triple: [Seattle–Tacoma International Airport, FAAcode, SEA]
  • A. SEA chosen
    SEA is the three-letter IATA airport code for Seattle–Tacoma International Airport, the primary commercial airport serving the Seattle metropolitan area in Washington, USA.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. Seascape
    Seascape is a Pulitzer Prize-winning play by Edward Albee that blends domestic drama with surreal encounters between humans and evolved sea creatures to explore themes of communication, evolution, and aging.
  • D. SavU Sea
    The Savu Sea is a small sea in the western Pacific Ocean, located between the Indonesian islands of Sumba, Timor, and Flores, known for its deep waters and rich marine biodiversity.
  • E. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090b3a20819098fdb5605ee739d7 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b5d6f48190baac5d3d6fe13206 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.