Triple

T12467087
Position Surface form Disambiguated ID Type / Status
Subject Oru West E297951 entity
Predicate hasAdministrativeHeadquartersIn P1474 FINISHED
Object Mgbidi
Mgbidi is a town in Imo State, southeastern Nigeria, known as a local government and commercial center in the region.
 E984770 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: Mgbidi | Statement: [Oru West, hasAdministrativeHeadquartersIn, Mgbidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mgbidi
Context triple: [Oru West, hasAdministrativeHeadquartersIn, Mgbidi]
  • A. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • B. Mbaïki
    Mbaïki is a town in the Central African Republic that serves as an important regional center southwest of the capital, Bangui.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Bongo–Bagirmi
    Bongo–Bagirmi is a subgroup of Central Sudanic languages spoken primarily in parts of Central Africa, including Chad and neighboring regions.
  • E. Mbigou
    Mbigou is a town in southern Gabon known as a local administrative and trading center in Ngounié Province.
  • 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: Mgbidi
Triple: [Oru West, hasAdministrativeHeadquartersIn, Mgbidi]
Generated description
Mgbidi is a town in Imo State, southeastern Nigeria, known as a local government and commercial center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mgbidi
Target entity description: Mgbidi is a town in Imo State, southeastern Nigeria, known as a local government and commercial center in the region.
  • A. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • B. Mbaïki
    Mbaïki is a town in the Central African Republic that serves as an important regional center southwest of the capital, Bangui.
  • C. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • D. Bongo–Bagirmi
    Bongo–Bagirmi is a subgroup of Central Sudanic languages spoken primarily in parts of Central Africa, including Chad and neighboring regions.
  • E. Mbigou
    Mbigou is a town in southern Gabon known as a local administrative and trading center in Ngounié Province.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db979c481908778188794b2c08e completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1f44f481909c7efdffd2aeac41 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f641a309cc8190b2403e62a6acfe58 completed May 2, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_69f6427c162c8190ae2c027913d43b9e completed May 2, 2026, 6:29 p.m.
Created at: April 8, 2026, 9:56 p.m.