Triple

T9030222
Position Surface form Disambiguated ID Type / Status
Subject SMPTE color bars E216148 entity
Predicate associatedWithStandard P85777 FINISHED
Object PAL E773919 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: PAL | Statement: [SMPTE color bars, associatedWithStandard, PAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PAL
Context triple: [SMPTE color bars, associatedWithStandard, PAL]
  • A. PAL
    PAL is the ICAO airline designator for Philippine Airlines, the flag carrier of the Philippines.
  • B. PAL chosen
    PAL is the European and other non-NTSC television broadcast standard that defined video format and regional compatibility for systems like the Game Boy Player.
  • C. Pal
    Pal is an Indian surname notably borne by Bipin Chandra Pal, a prominent nationalist leader in the Indian independence movement.
  • D. PAD
    PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
  • E. PLE
    PLE is the vehicle registration code assigned to motor vehicles registered in the city of Leszno, Poland.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9e0aa881908886f453c51ecd0e completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb83e8988190bf29baa1aff11ac0 completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:08 p.m.