Triple

T12851540
Position Surface form Disambiguated ID Type / Status
Subject Lower Congo region E307333 entity
Predicate includesSettlement P16159 FINISHED
Object Muanda E153801 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: Muanda | Statement: [Lower Congo region, includesSettlement, Muanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muanda
Context triple: [Lower Congo region, includesSettlement, Muanda]
  • A. Muanda chosen
    Muanda is a coastal town in the Democratic Republic of the Congo situated near the mouth of the Congo River on the Atlantic Ocean.
  • B. Mingos
    Mingos is the nickname for the passionate supporters of Forward Madison FC, reflecting the club’s flamingo-themed identity.
  • C. Mydaus
    Mydaus is a small genus of skunk-like mammals known as stink badgers, native to Southeast Asia and characterized by their powerful defensive scent glands.
  • D. Luns
    Luns is a Dutch surname most notably associated with Joseph Luns, a former Dutch foreign minister and long-serving Secretary General of NATO.
  • E. Mornant
    Mornant is a commune in eastern France located in the Rhône department, known for its rural character and proximity to the Lyon metropolitan area.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97020eacc81909357b3398d17dc49 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e393fc8190812380a3e41778bf completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:36 p.m.