Triple

T20072126
Position Surface form Disambiguated ID Type / Status
Subject Tanganyika Province E499762 entity
Predicate hasCity P316 FINISHED
Object Manono
Manono is a town in southeastern Democratic Republic of the Congo known historically for its tin and other mineral mining activities.
E1410106 NE FINISHED

How this triple was built (4 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: Manono | Statement: [Tanganyika Province, hasCity, Manono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manono
Context triple: [Tanganyika Province, hasCity, Manono]
  • A. Manono
    Manono is a small inhabited island in Samoa, situated in the strait between the larger islands of Upolu and Savai'i.
  • B. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • C. Maroneitai
    Maroneitai were the ancient Greek inhabitants or ethnic group associated with the city of Maroneia in Thrace.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Manono
Triple: [Tanganyika Province, hasCity, Manono]
Generated description
Manono is a town in southeastern Democratic Republic of the Congo known historically for its tin and other mineral mining activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Manono
Target entity description: Manono is a town in southeastern Democratic Republic of the Congo known historically for its tin and other mineral mining activities.
  • A. Manono
    Manono is a small inhabited island in Samoa, situated in the strait between the larger islands of Upolu and Savai'i.
  • B. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • C. Maroneitai
    Maroneitai were the ancient Greek inhabitants or ethnic group associated with the city of Maroneia in Thrace.
  • D. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • E. Moniaive
    Moniaive is a small rural village in southwest Scotland known for its scenic surroundings and vibrant arts and music community.
  • F. None of above. chosen

Provenance (5 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66438633481908710907c48806499 completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3d1ad48190b434568a0c0d60de completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08203132d48190b3f1313dae3e6fc1 completed May 16, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0821390af08190a4aca33d33f0e71d completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:40 p.m.