Triple

T8327775
Position Surface form Disambiguated ID Type / Status
Subject Lofa County E194997 entity
Predicate hasCity P316 FINISHED
Object Zorzor
Zorzor is a town in northwestern Liberia that serves as one of the main urban centers of Lofa County.
 E727402 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: Zorzor | Statement: [Lofa County, hasCity, Zorzor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zorzor
Context triple: [Lofa County, hasCity, Zorzor]
  • A. Zorok
    Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
  • B. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Orgelet
    Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
  • E. Zorra
    Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
  • 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: Zorzor
Triple: [Lofa County, hasCity, Zorzor]
Generated description
Zorzor is a town in northwestern Liberia that serves as one of the main urban centers of Lofa County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zorzor
Target entity description: Zorzor is a town in northwestern Liberia that serves as one of the main urban centers of Lofa County.
  • A. Zorok
    Zorok is a beer brand produced by Asia Pacific Breweries, known for its presence in select Asian markets.
  • B. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • C. Zarak
    Zarak is a 1956 British adventure film starring Michael Wilding, known for its exotic setting and tale of a former tribal leader turned outlaw.
  • D. Orgelet
    Orgelet is a small commune in eastern France’s Jura department, known for its proximity to the scenic Vouglans Reservoir and the surrounding lake and forest landscapes.
  • E. Zorra
    Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f8243288190b1ae74d69395fc91 completed March 31, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc70723a48190a3e33908fc84fe59 completed April 2, 2026, 1:31 a.m.
NEDg Description generation batch_69cdcb8cbd3c8190b467ecbcf55231e9 completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdccff097c819099a33612504468e1 completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:56 p.m.