Triple

T16469241
Position Surface form Disambiguated ID Type / Status
Subject MSLP E400015 entity
Predicate hasICAOLocationIndicator P84797 FINISHED
Object MSLP E400015 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: MSLP | Statement: [MSLP, hasICAOLocationIndicator, MSLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSLP
Context triple: [MSLP, hasICAOLocationIndicator, MSLP]
  • A. MSLP chosen
    MSLP is the ICAO airport code for Ilopango International Airport in El Salvador.
  • B. Strom
    Strom is the given name of Strom Thurmond, a long-serving U.S. senator from South Carolina known for his staunch segregationist views and record-breaking tenure in Congress.
  • C. J Storm
    J Storm is a musical artist known for performing the track "Did I Do That?".
  • D. BoM
    BoM is Australia’s national weather, climate, and water agency responsible for forecasting, warnings, and environmental monitoring.
  • E. Madden–Julian Oscillation
    The Madden–Julian Oscillation is a large-scale tropical atmospheric pattern characterized by eastward-moving pulses of enhanced and suppressed rainfall that strongly influence global weather and climate variability on intraseasonal timescales.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5af4308190bd023624de35027f completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.