Triple

T6276748
Position Surface form Disambiguated ID Type / Status
Subject Krio people E140679 entity
Predicate primaryLocation P3231 FINISHED
Object Freetown E70581 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: Freetown | Statement: [Krio people, primaryLocation, Freetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freetown
Context triple: [Krio people, primaryLocation, Freetown]
  • A. Freetown chosen
    Freetown is the capital and largest city of Sierra Leone, known as a historic port and former center for resettled freed slaves in West Africa.
  • B. Freetown
    Freetown is a historic rural town in Bristol County, southeastern Massachusetts, known for its forests, ponds, and the reputedly haunted Freetown-Fall River State Forest.
  • 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. Banjul
    Banjul is the capital and principal port city of The Gambia, located on an island at the mouth of the Gambia River in West Africa.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63859155881908767074ea315198c completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:26 p.m.