Triple

T18587673
Position Surface form Disambiguated ID Type / Status
Subject IDA-2 E454279 entity
Predicate installedOn P3054 FINISHED
Object PMA-2 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: PMA-2 | Statement: [IDA-2, installedOn, PMA-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PMA-2
Context triple: [IDA-2, installedOn, PMA-2]
  • A. PMA-2 chosen
    PMA-2 is a pressurized docking adapter on the International Space Station’s Destiny laboratory module that enables visiting spacecraft to securely dock with the station.
  • B. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • C. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • D. PMA
    PMA is the premier officer training institution of the Pakistan Army, located in Kakul near Abbottabad.
  • E. PAC-2
    PAC-2 is an upgraded variant of the Patriot missile system designed primarily to improve its effectiveness against tactical ballistic missiles and other aerial threats.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b2f20481908da74447cd08d5bd completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.