Triple

T5274473
Position Surface form Disambiguated ID Type / Status
Subject CROP E119340 entity
Predicate acronym P43 FINISHED
Object CROP E119340 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: CROP | Statement: [CROP, acronym, CROP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CROP
Context triple: [CROP, acronym, CROP]
  • A. CROP chosen
    CROP is a coordinating body that brings together key regional intergovernmental organizations in the Pacific to harmonize policies and development efforts across the region.
  • B. Cornstalk
    Cornstalk was an 18th-century Shawnee chief and skilled orator known for his leadership during conflicts with American colonists, including Lord Dunmore’s War.
  • C. Zea
    Zea is the former name of Kea, an island in the Cyclades archipelago of Greece known for its traditional villages and scenic landscapes.
  • D. Corn Du
    Corn Du is a prominent summit in the Brecon Beacons of South Wales, known for its distinctive flat top and popularity with hikers.
  • E. Plante
    Plante is a French-origin surname commonly found in Canada and other Francophone regions, associated with several notable figures in sports, politics, and the arts.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c23bed88190b406dee21957d823 completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06d1f874819098a9b99f8bb9f654 completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:51 p.m.