Triple

T9130387
Position Surface form Disambiguated ID Type / Status
Subject N334AA E219070 entity
Predicate airlineIATA P12360 FINISHED
Object AA E3505 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: AA | Statement: [N334AA, airlineIATA, AA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AA
Context triple: [N334AA, airlineIATA, AA]
  • A. AA chosen
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • C. AA
    AA is a common cylindrical battery size widely used in household electronic devices such as remote controls, toys, and flashlights.
  • D. AA
    AA is the common abbreviation for Arthur Andersen, the former Big Five accounting firm that collapsed following its involvement in the Enron scandal.
  • E. AA
    AA is the New York Stock Exchange ticker symbol for Alcoa Corporation, a major American producer of aluminum and related products.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cdafb48190be5e62b15779d771 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030aee3cc81908e883c0bc399fb96 completed April 3, 2026, 9:27 p.m.
Created at: March 30, 2026, 7:18 p.m.