Triple

T14306986
Position Surface form Disambiguated ID Type / Status
Subject Sør-Aurdal E354723 entity
Predicate administrativeCentre P1474 FINISHED
Object Bagn
Bagn is a small village in Innlandet county, Norway, known as the main local hub of the Sør-Aurdal municipality in the Valdres region.
E1090952 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: Bagn | Statement: [Sør-Aurdal, administrativeCentre, Bagn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagn
Context triple: [Sør-Aurdal, administrativeCentre, Bagn]
  • A. Bages
    Bages is a small commune in the Pyrénées-Orientales department of southern France, known for its traditional village character and proximity to the Mediterranean coast.
  • B. Bages
    Bages is a central comarca (county) in Catalonia, Spain, known for its historic town of Manresa and its mix of industrial, agricultural, and natural landscapes.
  • C. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Bago
    Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
  • E. Bago
    Bago is an indigenous ethnolinguistic group in the northern Philippines, primarily associated with the Ilocos and Cordillera regions.
  • 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: Bagn
Triple: [Sør-Aurdal, administrativeCentre, Bagn]
Generated description
Bagn is a small village in Innlandet county, Norway, known as the main local hub of the Sør-Aurdal municipality in the Valdres region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bagn
Target entity description: Bagn is a small village in Innlandet county, Norway, known as the main local hub of the Sør-Aurdal municipality in the Valdres region.
  • A. Bages
    Bages is a small commune in the Pyrénées-Orientales department of southern France, known for its traditional village character and proximity to the Mediterranean coast.
  • B. Bages
    Bages is a central comarca (county) in Catalonia, Spain, known for its historic town of Manresa and its mix of industrial, agricultural, and natural landscapes.
  • C. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Bago
    Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
  • E. Bago
    Bago is an indigenous ethnolinguistic group in the northern Philippines, primarily associated with the Ilocos and Cordillera regions.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b156b0819083f2bd319deed1b6 completed April 14, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2c32648190bc8bb26d57df57f5 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3e3d3e2c81909945253c26e19cee completed May 8, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69fd3ebe4f008190aec72ed7e23c4cd4 completed May 8, 2026, 1:39 a.m.
Created at: April 10, 2026, 1:12 a.m.