Triple

T12492727
Position Surface form Disambiguated ID Type / Status
Subject Central Equatoria State E298605 entity
Predicate hasMajorCity P316 FINISHED
Object Morobo
Morobo is a town in South Sudan’s Central Equatoria State, near the border with Uganda and the Democratic Republic of the Congo.
 E985841 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: Morobo | Statement: [Central Equatoria State, hasMajorCity, Morobo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morobo
Context triple: [Central Equatoria State, hasMajorCity, Morobo]
  • A. Taburao
    Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
  • B. Mōri
    Mōri is a prominent Japanese samurai clan that rose to power in western Honshu during the Sengoku period and later became influential daimyō under the Tokugawa shogunate.
  • C. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • D. Chamorga
    Chamorga is a small, remote village on the northeastern tip of Tenerife in the Canary Islands, known for its traditional rural character and scenic hiking routes through the surrounding mountains and coastline.
  • E. Kusaie
    Kusaie is an alternate name for the Kosraean language spoken on the Micronesian island of Kosrae.
  • 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: Morobo
Triple: [Central Equatoria State, hasMajorCity, Morobo]
Generated description
Morobo is a town in South Sudan’s Central Equatoria State, near the border with Uganda and the Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morobo
Target entity description: Morobo is a town in South Sudan’s Central Equatoria State, near the border with Uganda and the Democratic Republic of the Congo.
  • A. Taburao
    Taburao is a village on the atoll of Abaiang in the island nation of Kiribati.
  • B. Mōri
    Mōri is a prominent Japanese samurai clan that rose to power in western Honshu during the Sengoku period and later became influential daimyō under the Tokugawa shogunate.
  • C. Moru
    Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
  • D. Chamorga
    Chamorga is a small, remote village on the northeastern tip of Tenerife in the Canary Islands, known for its traditional rural character and scenic hiking routes through the surrounding mountains and coastline.
  • E. Kusaie
    Kusaie is an alternate name for the Kosraean language spoken on the Micronesian island of Kosrae.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bab99bc8190abe6dfb7c6a7fe6f completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64c276d388190b58fe884466076ee completed May 2, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69f64ce7b444819094d94bec749d7618 completed May 2, 2026, 7:13 p.m.
Created at: April 8, 2026, 9:56 p.m.