Triple

T16834856
Position Surface form Disambiguated ID Type / Status
Subject Training Po E409247 entity
Predicate featuresCharacter P626 FINISHED
Object Po E683351 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: Po | Statement: [Training Po, featuresCharacter, Po]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Po
Context triple: [Training Po, featuresCharacter, Po]
  • A. Po chosen
    Po is the lovable, dumpling-obsessed panda who becomes the Dragon Warrior and hero of the Kung Fu Panda film series.
  • B. Po
    Po is the small, red Teletubby character known for riding a scooter and speaking in a soft, childlike voice.
  • C. Po
    The Po is Italy’s longest and most important river, flowing eastward across northern Italy from the Alps to the Adriatic Sea.
  • D. PO
    PO is the commonly used abbreviation for Opole University of Technology, a technical university located in Opole, Poland.
  • E. PO
    PO is the vehicle registration code used on license plates for the city of Požarevac in Serbia.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31aa44c8190b4f402f1898e6998 completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a3296c8190978c1809264f66e1 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:23 a.m.