Triple

T13191210
Position Surface form Disambiguated ID Type / Status
Subject Cabinet of Dominica E313988 entity
Predicate seatOfGovernment P761 FINISHED
Object Roseau E78397 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: Roseau | Statement: [Cabinet of Dominica, seatOfGovernment, Roseau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roseau
Context triple: [Cabinet of Dominica, seatOfGovernment, Roseau]
  • A. Roseau chosen
    Roseau is the largest city and main commercial and administrative center of the Caribbean island nation of Dominica.
  • B. Pétion-Ville
    Pétion-Ville is a suburban commune in the hills southeast of Port-au-Prince, known as one of Haiti’s main residential and commercial centers.
  • C. Monrovia
    Monrovia is the largest city and main economic and administrative center of Liberia, located on the Atlantic coast in West Africa.
  • D. Monrovia
    Monrovia is a city in Los Angeles County, California, located in the San Gabriel Valley at the foothills of the San Gabriel Mountains.
  • E. Croix-des-Bouquets
    Croix-des-Bouquets is a commune in Haiti known for its vibrant metal art tradition and proximity to the capital, Port-au-Prince.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:15 p.m.