Triple

T17449860
Position Surface form Disambiguated ID Type / Status
Subject TSA Pre✓ E424885 entity
Predicate screeningLocation P33023 FINISHED
Object TSA security checkpoints NE NERFINISHED

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: TSA security checkpoints | Statement: [TSA Pre✓, screeningLocation, TSA security checkpoints]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSA security checkpoints
Context triple: [TSA Pre✓, screeningLocation, TSA security checkpoints]
  • A. TSA
    TSA is the vehicle registration code assigned to Sandomierz County in Poland.
  • B. TSA
    TSA is the IATA airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
  • C. TSA Pre✓
    TSA Pre✓ is a U.S. Transportation Security Administration program that offers expedited airport security screening for pre-approved, low-risk travelers.
  • D. TSA security checkpoint (via terminal) chosen
    The TSA security checkpoint (via terminal) is the controlled screening area where passengers and their belongings are inspected before entering the secure side of the airport terminal.
  • E. Transportation Security Administration
    The Transportation Security Administration (TSA) is a U.S. federal agency responsible for ensuring the security of the nation’s transportation systems, most notably through passenger and baggage screening at airports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513d00f48190802a3bdc8c8f4db5 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.