Triple

T15753423
Position Surface form Disambiguated ID Type / Status
Subject Kanal ob Soči E381904 entity
Predicate hasSettlement P1068 FINISHED
Object Anhovo
Anhovo is a small settlement in western Slovenia, situated along the Soča River and known for its industrial facilities, particularly a large cement plant.
 E1175881 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: Anhovo | Statement: [Kanal ob Soči, hasSettlement, Anhovo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anhovo
Context triple: [Kanal ob Soči, hasSettlement, Anhovo]
  • A. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • D. Andecavi
    Andecavi were an ancient Gallic tribe of western France, centered around the region of modern Angers in the Loire Valley.
  • E. Avlona
    Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
  • 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: Anhovo
Triple: [Kanal ob Soči, hasSettlement, Anhovo]
Generated description
Anhovo is a small settlement in western Slovenia, situated along the Soča River and known for its industrial facilities, particularly a large cement plant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anhovo
Target entity description: Anhovo is a small settlement in western Slovenia, situated along the Soča River and known for its industrial facilities, particularly a large cement plant.
  • A. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • B. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • C. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • D. Andecavi
    Andecavi were an ancient Gallic tribe of western France, centered around the region of modern Angers in the Loire Valley.
  • E. Avlona
    Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05031f6a08190bfb333eced0a59a1 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876f005c8190913dec49b839b9f9 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b5fb4708190ab83653817f7b44e completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8c1cc6a081908d09e73b5d219b05 completed May 9, 2026, 7:33 p.m.
Created at: April 10, 2026, 4:47 a.m.