Triple

T4335097
Position Surface form Disambiguated ID Type / Status
Subject Cordillera Central E97443 entity
Predicate contains P35 FINISHED
Object Abra E304062 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: Abra | Statement: [Cordillera Central, contains, Abra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abra
Context triple: [Cordillera Central, contains, Abra]
  • A. Abra chosen
    Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
  • B. Abra Stone
    Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
  • C. Pikachu
    Pikachu is an iconic Electric-type Pokémon and the franchise mascot, widely recognized as one of the most famous characters in video game and anime history.
  • D. Charmander
    "Charmander" is a popular 2016 hip-hop single by American rapper Aminé, known for its playful energy and catchy, melodic flow.
  • E. Pichu Pichu
    Pichu Pichu is a large, eroded volcanic massif in southern Peru, known for its multiple peaks and cultural significance near the city of Arequipa.
  • 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_69b3454662a481908fbcd0bbfaa3a0a4 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35152bfc88190ab5d53ca38f98d8a completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d0a9967481908828ceeb76ce4cbf completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:14 p.m.