Triple

T17807205
Position Surface form Disambiguated ID Type / Status
Subject Rokel River E444595 entity
Predicate dischargesNear P59550 FINISHED
Object Freetown 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: Freetown | Statement: [Rokel River, dischargesNear, Freetown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freetown
Context triple: [Rokel River, dischargesNear, 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. Sekondi Harbour
    Sekondi Harbour is a seaport in Sekondi-Takoradi, Ghana, serving as an important hub for maritime trade and regional shipping.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488044cdc8190a09a2265c8a86475 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:14 a.m.