Triple

T12975726
Position Surface form Disambiguated ID Type / Status
Subject Francisco Sá Carneiro Airport E321518 entity
Predicate ICAOcode P419 FINISHED
Object LPPR E921503 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: LPPR | Statement: [Francisco Sá Carneiro Airport, ICAOcode, LPPR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LPPR
Context triple: [Francisco Sá Carneiro Airport, ICAOcode, LPPR]
  • A. LPPR chosen
    LPPR is the ICAO airport code for Francisco Sá Carneiro Airport, the international airport serving Porto, Portugal.
  • B. LPP
    LPP is the IATA airport code for Lappeenranta Airport in Lappeenranta, Finland.
  • C. LPPD
    LPPD is the ICAO airport code for João Paulo II Airport, the main international airport serving Ponta Delgada in the Azores, Portugal.
  • D. PRR
    PRR is the abbreviation commonly used for the Pennsylvania Railroad Company, once one of the largest and most influential railroads in the United States.
  • E. PRR
    PRR is a set of UK financial regulations governing the content and approval of prospectuses for securities offerings to protect investors and ensure market transparency.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e48c0208190bb7ec80780480b37 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ec821c81909398d8e02d69dcbf completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:37 p.m.