Triple

T9628906
Position Surface form Disambiguated ID Type / Status
Subject Grenchen E232543 entity
Predicate locatedNear P294 FINISHED
Object Biel
Biel is a bilingual Swiss city in the canton of Bern known as a major center of the watchmaking industry and gateway to the Jura region.
 E810320 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: Biel | Statement: [Grenchen, locatedNear, Biel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Biel
Context triple: [Grenchen, locatedNear, Biel]
  • A. Biel
    Biel is a surname most prominently associated with American actress and producer Jessica Biel.
  • B. Biel-Benken
    Biel-Benken is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, near the city of Basel and close to the French and German borders.
  • C. Begna
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • D. Biate
    Biate is a Tibeto-Burman language spoken by the Biate ethnic community in parts of northeast India, including areas of Cachar district in Assam.
  • E. Oberá
    Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • 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: Biel
Triple: [Grenchen, locatedNear, Biel]
Generated description
Biel is a bilingual Swiss city in the canton of Bern known as a major center of the watchmaking industry and gateway to the Jura region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Biel
Target entity description: Biel is a bilingual Swiss city in the canton of Bern known as a major center of the watchmaking industry and gateway to the Jura region.
  • A. Biel
    Biel is a surname most prominently associated with American actress and producer Jessica Biel.
  • B. Biel-Benken
    Biel-Benken is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, near the city of Basel and close to the French and German borders.
  • C. Begna
    Begna is a river in southeastern Norway that flows through the region of Ringerike and is known for its role in local hydropower production and freshwater ecosystems.
  • D. Biate
    Biate is a Tibeto-Burman language spoken by the Biate ethnic community in parts of northeast India, including areas of Cachar district in Assam.
  • E. Oberá
    Oberá is a major inland city in northeastern Argentina known for its cultural diversity and role as an agricultural and commercial center in Misiones Province.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b00162481908f396f6b6e470d6c completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17987e4008190a8d43641072a1c86 completed April 4, 2026, 8:50 p.m.
NEDg Description generation batch_69d17b479f708190bfbcf206b0fc84d4 completed April 4, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69d17bc76be48190bb3376baf476de80 completed April 4, 2026, 8:59 p.m.
Created at: March 30, 2026, 8:10 p.m.