Triple

T5909050
Position Surface form Disambiguated ID Type / Status
Subject Terminal E E131414 entity
Predicate hasIATAAirport P17503 FINISHED
Object PHL E127980 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: PHL | Statement: [Terminal E, hasIATAAirport, PHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PHL
Context triple: [Terminal E, hasIATAAirport, PHL]
  • A. PHL chosen
    PHL is the three-letter IATA airport code for Philadelphia International Airport, the primary commercial airport serving the Philadelphia metropolitan area in Pennsylvania, USA.
  • B. PHI
    PHI is the standard abbreviation used for the NBA’s Philadelphia 76ers.
  • C. PHI
    PHI is the standard abbreviation used for California Points of Historical Interest, a state-level designation for sites of local historical significance.
  • D. .phl
    .phl is a proposed or lesser-used internet country code top-level domain associated with the Philippines, distinct from its primary ccTLD, .ph.
  • E. Logik
    Logik is a foundational work on formal logic by German philosopher and mathematician Gottlob Frege, contributing significantly to the development of modern logic and the philosophy of language.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03775590481909a797b166fbe108c completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16f568081908839cd2403b7534c completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.