Triple

T10489658
Position Surface form Disambiguated ID Type / Status
Subject Gambela Region E247380 entity
Predicate hasMajorTown P316 FINISHED
Object Lare
Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
 E869029 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: Lare | Statement: [Gambela Region, hasMajorTown, Lare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lare
Context triple: [Gambela Region, hasMajorTown, Lare]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • C. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • D. Lagar
    Lagar is a poetry collection by Chilean Nobel laureate Gabriela Mistral that reflects her mature, introspective, and often somber lyrical style.
  • E. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • 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: Lare
Triple: [Gambela Region, hasMajorTown, Lare]
Generated description
Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lare
Target entity description: Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • C. Larue
    Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
  • D. Lagar
    Lagar is a poetry collection by Chilean Nobel laureate Gabriela Mistral that reflects her mature, introspective, and often somber lyrical style.
  • E. Laus
    Laus was an ancient Greek colony in southern Italy, founded by settlers from the wealthy city of Sybaris.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097ca5c081908b47a08ca7885650 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dc44d7881908391487275b845bf completed April 10, 2026, 2:48 p.m.
NEDg Description generation batch_69d9107c75108190994939ab46aa642f completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d9154c922c81909991f87f89c083cd completed April 10, 2026, 3:20 p.m.
Created at: April 6, 2026, 12:23 p.m.