Triple

T11071675
Position Surface form Disambiguated ID Type / Status
Subject MNL E261759 entity
Predicate icaoCode P419 FINISHED
Object RPLL E261760 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: RPLL | Statement: [MNL, icaoCode, RPLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RPLL
Context triple: [MNL, icaoCode, RPLL]
  • A. RPLL chosen
    RPLL is the ICAO airport code for Ninoy Aquino International Airport, the main international gateway serving Metro Manila in the Philippines.
  • B. EPLL
    EPLL is the ICAO airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • C. RRTL
    RRTL is the stock ticker symbol for RTL Group, a leading European entertainment company specializing in television, radio, and digital media.
  • D. RLC
    RLC is the Royal Logistic Corps, a branch of the British Army responsible for providing logistics support including supply, transport, and distribution.
  • E. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994bbb30819090410bd3d0fde33c completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8bfb0c88190be27f5ce09b02c8b completed April 18, 2026, 6:09 p.m.
Created at: April 8, 2026, 9:26 p.m.