Triple

T21464156
Position Surface form Disambiguated ID Type / Status
Subject UNICPOLOS E529548 entity
Predicate acronym P43 FINISHED
Object UNICPOLOS 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: UNICPOLOS | Statement: [UNICPOLOS, acronym, UNICPOLOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNICPOLOS
Context triple: [UNICPOLOS, acronym, UNICPOLOS]
  • A. UNICPOLOS chosen
    UNICPOLOS is a United Nations consultative forum that facilitates discussions and cooperation on global ocean governance and the implementation of the Law of the Sea.
  • B. Crossapol
    Crossapol is a small coastal settlement on the island of Tiree in Scotland’s Inner Hebrides.
  • C. Crossapol
    Crossapol is a small coastal settlement on the Isle of Coll in Scotland’s Inner Hebrides, known for its sandy beaches and rural island character.
  • D. Cocconato
    Cocconato is a small Italian hill town in the Piedmont region, noted for its scenic landscapes, wine production, and traditional local cuisine.
  • E. Parseoni
    Parseoni is a town located in the Nagpur district of the Indian state of Maharashtra.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f100fc819093999018f7d78443 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.