Triple

T5669235
Position Surface form Disambiguated ID Type / Status
Subject Steinkjer E124933 entity
Predicate mergedWith P77 FINISHED
Object Sparbu
Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
 E535623 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: Sparbu | Statement: [Steinkjer, mergedWith, Sparbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sparbu
Context triple: [Steinkjer, mergedWith, Sparbu]
  • A. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Spydeberg
    Spydeberg is a small Norwegian village and former municipality in the traditional region of Østfold, known for its rural character and historic church.
  • 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: Sparbu
Triple: [Steinkjer, mergedWith, Sparbu]
Generated description
Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sparbu
Target entity description: Sparbu was a former rural municipality in Trøndelag county, Norway, that later became part of the town and municipality of Steinkjer.
  • A. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • B. Spremberg
    Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
  • C. Berar
    Berar was a historical region in central India that became a significant Maratha-ruled province, later integrated into British India and now largely part of Maharashtra.
  • D. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • E. Spydeberg
    Spydeberg is a small Norwegian village and former municipality in the traditional region of Østfold, known for its rural character and historic church.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0234891d48190bf662f38ef84d4f3 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dafb6b081909c5bf1527f185819 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.