Triple

T8932921
Position Surface form Disambiguated ID Type / Status
Subject Grand Gedeh County E212700 entity
Predicate capital P234 FINISHED
Object Zwedru
Zwedru is a major town in eastern Liberia known as an administrative and commercial center for the surrounding region.
 E767829 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: Zwedru | Statement: [Grand Gedeh County, capital, Zwedru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zwedru
Context triple: [Grand Gedeh County, capital, Zwedru]
  • A. Vidzeme
    Vidzeme is a historical region in northern Latvia known for its rich cultural heritage, forests, and role in the development of Latvian national identity.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Zawichost
    Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
  • D. Bór
    Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
  • E. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • 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: Zwedru
Triple: [Grand Gedeh County, capital, Zwedru]
Generated description
Zwedru is a major town in eastern Liberia known as an administrative and commercial center for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zwedru
Target entity description: Zwedru is a major town in eastern Liberia known as an administrative and commercial center for the surrounding region.
  • A. Vidzeme
    Vidzeme is a historical region in northern Latvia known for its rich cultural heritage, forests, and role in the development of Latvian national identity.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Zawichost
    Zawichost is a small historic town in southeastern Poland, situated on the Vistula River in the Świętokrzyskie Voivodeship.
  • D. Bór
    Bór is the wartime nickname of Tadeusz Bór-Komorowski, the Polish general who commanded the Home Army and led the Warsaw Uprising during World War II.
  • E. Zau
    Zau is an ancient city, historically known as Sais, that served as an important religious and political center in Egypt’s Nile Delta.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668e5c108190b08f9cd6b4fd4a8b completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d965cc8190bad0a990df318698 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc3b3044c81908631fee4ffe5c25f completed April 3, 2026, 1:42 p.m.
NED2 Entity disambiguation (via description) batch_69cfc41fca3081908d8c2515c98283de completed April 3, 2026, 1:43 p.m.
Created at: March 30, 2026, 6:57 p.m.