Triple

T13625033
Position Surface form Disambiguated ID Type / Status
Subject Government of the Marshall Islands E325556 entity
Predicate legislativeBody P239 FINISHED
Object Nitijeļā E49377 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: Nitijeļā | Statement: [Government of the Marshall Islands, legislativeBody, Nitijeļā]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitijeļā
Context triple: [Government of the Marshall Islands, legislativeBody, Nitijeļā]
  • A. Nitijeļā chosen
    Nitijeļā is the unicameral national legislature of the Republic of the Marshall Islands, responsible for making laws and overseeing the government.
  • B. Tuineje
    Tuineje is a coastal municipality on the island of Fuerteventura in Spain’s Canary Islands, known for its rural landscapes, beaches, and traditional Canarian culture.
  • C. Pļaviņas
    Pļaviņas is a town in Latvia situated on the Daugava River, known for its proximity to the Pļaviņas Hydroelectric Power Plant and its role as a local administrative and transport hub.
  • D. Nietap
    Nietap is a small village in the Dutch province of Drenthe, known for its rural character and proximity to the town of Roden.
  • E. Nieste
    Nieste is a small settlement located within Germany's historic Westphalia region.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.