Triple

T16361917
Position Surface form Disambiguated ID Type / Status
Subject Irbid Governorate E397332 entity
Predicate hasCity P316 FINISHED
Object Koura
Koura is a town in Jordan located within the Irbid Governorate in the northern part of the country.
E1208128 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: Koura | Statement: [Irbid Governorate, hasCity, Koura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koura
Context triple: [Irbid Governorate, hasCity, Koura]
  • A. Koura
    Koura is a historically significant district in northern Lebanon known for its olive groves, agricultural production, and predominantly Greek Orthodox Christian communities.
  • B. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • C. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • D. Tongala
    Tongala is a small rural town in northern Victoria, Australia, known for its dairy industry and agricultural surroundings.
  • E. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • 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: Koura
Triple: [Irbid Governorate, hasCity, Koura]
Generated description
Koura is a town in Jordan located within the Irbid Governorate in the northern part of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Koura
Target entity description: Koura is a town in Jordan located within the Irbid Governorate in the northern part of the country.
  • A. Koura
    Koura is a historically significant district in northern Lebanon known for its olive groves, agricultural production, and predominantly Greek Orthodox Christian communities.
  • B. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • C. Gouraya
    Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
  • D. Tongala
    Tongala is a small rural town in northern Victoria, Australia, known for its dairy industry and agricultural surroundings.
  • E. Katama
    Katama is a coastal area and neighborhood of Edgartown on Martha’s Vineyard, known for its expansive South Beach and open, windswept plains.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff39f8308190865d024734992a76 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbeabe081909e3d02676293e8b2 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002ed2ddf0819083be2dd80810ac78 completed May 10, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_6a002f8fdefc8190bf893c7dc22c9f0b completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.