Triple

T8401436
Position Surface form Disambiguated ID Type / Status
Subject Sandomierz E198380 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object TSA E545088 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: TSA | Statement: [Sandomierz, vehicleRegistrationCode, TSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSA
Context triple: [Sandomierz, vehicleRegistrationCode, TSA]
  • A. TSA
    TSA is the IATA airport code for Taipei Songshan Airport, a major domestic and regional airport serving Taipei, Taiwan.
  • B. TSA chosen
    TSA is the vehicle registration code assigned to Sandomierz County in Poland.
  • C. 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.
  • D. TSA Pre✓
    TSA Pre✓ is a U.S. Transportation Security Administration program that offers expedited airport security screening for pre-approved, low-risk travelers.
  • E. وزارة الطيران المدني
    وزارة الطيران المدني هي الجهة الحكومية المصرية المسؤولة عن تنظيم وإدارة شؤون الطيران المدني والمطارات والنقل الجوي في مصر.
  • 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_69cb824da3148190bfa3a1abfdfa02de completed March 31, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde8789a608190a3503f544a19d204 completed April 2, 2026, 3:54 a.m.
Created at: March 30, 2026, 6:04 p.m.