Triple

T11858234
Position Surface form Disambiguated ID Type / Status
Subject Ekeremor E282093 entity
Predicate hasSettlement P1068 FINISHED
Object Toru-Orua
Toru-Orua is a town in Ekeremor Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
E951702 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: Toru-Orua | Statement: [Ekeremor, hasSettlement, Toru-Orua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toru-Orua
Context triple: [Ekeremor, hasSettlement, Toru-Orua]
  • A. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • B. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • C. Hiniraya
    Hiniraya is an alternate name for Kinaray-a, an Austronesian language spoken primarily in the Western Visayas region of the Philippines.
  • D. Takami-Musubi
    Takami-Musubi is a primordial Shinto creator deity revered as one of the high heavenly gods who helped shape the cosmos in Japanese mythology.
  • E. Dasuya
    Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
  • 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: Toru-Orua
Triple: [Ekeremor, hasSettlement, Toru-Orua]
Generated description
Toru-Orua is a town in Ekeremor Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toru-Orua
Target entity description: Toru-Orua is a town in Ekeremor Local Government Area of Bayelsa State in Nigeria’s Niger Delta region.
  • A. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • B. Tagaeri
    The Tagaeri are an uncontacted Indigenous group living in voluntary isolation in the Ecuadorian Amazon, known for resisting outside contact and encroachment on their territory.
  • C. Hiniraya
    Hiniraya is an alternate name for Kinaray-a, an Austronesian language spoken primarily in the Western Visayas region of the Philippines.
  • D. Takami-Musubi
    Takami-Musubi is a primordial Shinto creator deity revered as one of the high heavenly gods who helped shape the cosmos in Japanese mythology.
  • E. Dasuya
    Dasuya is a town and municipal council in the Hoshiarpur district of Punjab, India, known historically as a significant settlement in the region.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a699089c8190b7a298baf13dcded completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f2816404ac81909129347607fb5fd3 completed April 29, 2026, 10:08 p.m.
NEDg Description generation batch_69f28d363cac8190b961f17245db493c completed April 29, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69f29150bf508190bdf037d40e445e6d completed April 29, 2026, 11:16 p.m.
Created at: April 8, 2026, 9:43 p.m.