Triple

T14098994
Position Surface form Disambiguated ID Type / Status
Subject Agatu E339329 entity
Predicate borders P224 FINISHED
Object Guma
Guma is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
 E1082358 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: Guma | Statement: [Agatu, borders, Guma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guma
Context triple: [Agatu, borders, Guma]
  • A. Ogombo
    Ogombo is a developing coastal community in the Lekki–Ajah axis of Lagos State, Nigeria, known for its growing residential estates and proximity to major urban hubs.
  • B. Ngulu
    Ngulu is a small inhabited island in the Ngulu Atoll of the Federated States of Micronesia, serving as the main settlement and administrative center of the atoll.
  • C. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • D. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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: Guma
Triple: [Agatu, borders, Guma]
Generated description
Guma is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guma
Target entity description: Guma is a local government area in Benue State, Nigeria, known for its agrarian communities and location in the state's central region.
  • A. Ogombo
    Ogombo is a developing coastal community in the Lekki–Ajah axis of Lagos State, Nigeria, known for its growing residential estates and proximity to major urban hubs.
  • B. Ngulu
    Ngulu is a small inhabited island in the Ngulu Atoll of the Federated States of Micronesia, serving as the main settlement and administrative center of the atoll.
  • C. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • D. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • E. Dondo
    Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf02638881908eff75453b6a2aab completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce90575108190a502661e3580c27d completed May 7, 2026, 7:33 p.m.
NED2 Entity disambiguation (via description) batch_69fce984be2881909b38e3d9e4fac243 completed May 7, 2026, 7:35 p.m.
Created at: April 9, 2026, 10:22 p.m.