Triple

T22154035
Position Surface form Disambiguated ID Type / Status
Subject Montferland E547486 entity
Predicate formedByMergerOf P77 FINISHED
Object Bergh
Bergh was a former Dutch municipality in Gelderland, known for its historic castles and villages, that later became part of the municipality of Montferland.
 E1521864 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: Bergh | Statement: [Montferland, formedByMergerOf, Bergh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bergh
Context triple: [Montferland, formedByMergerOf, Bergh]
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Berg
    Berg is a small Bavarian town on the shores of Lake Starnberg in southern Germany, known for its scenic lakeside setting and historical connections to King Ludwig II.
  • C. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • D. Berg
    Berg is a surname most famously associated with Alban Berg, the influential Austrian composer of the Second Viennese School.
  • E. Berge
    Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • 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: Bergh
Triple: [Montferland, formedByMergerOf, Bergh]
Generated description
Bergh was a former Dutch municipality in Gelderland, known for its historic castles and villages, that later became part of the municipality of Montferland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bergh
Target entity description: Bergh was a former Dutch municipality in Gelderland, known for its historic castles and villages, that later became part of the municipality of Montferland.
  • A. Berg
    Berg was a historical German territorial entity that gave its name to the later Grand Duchy of Berg in the Rhineland region.
  • B. Berg
    Berg is a small Bavarian town on the shores of Lake Starnberg in southern Germany, known for its scenic lakeside setting and historical connections to King Ludwig II.
  • C. Berg
    Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • D. Berg
    Berg is a surname most famously associated with Alban Berg, the influential Austrian composer of the Second Viennese School.
  • E. Berge
    Berge is a Norwegian surname most notably borne by politician Gunnar Berge.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f6d5b88190badee2e515a3b633 completed April 28, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a970a95488190ac723daa646820d0 completed May 18, 2026, 4:35 a.m.
NEDg Description generation batch_6a0a98bae8bc8190bd6a87983a1a6732 completed May 18, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0a99485cf881908764d64050667ea1 completed May 18, 2026, 4:44 a.m.
Created at: April 16, 2026, 8:33 p.m.