Triple

T5084807
Position Surface form Disambiguated ID Type / Status
Subject Betzdorf, Luxembourg E114610 entity
Predicate hasCapital P204 FINISHED
Object Berg
Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
 E492126 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: Berg | Statement: [Betzdorf, Luxembourg, hasCapital, Berg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berg
Context triple: [Betzdorf, Luxembourg, hasCapital, Berg]
  • 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. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • D. Gora
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • E. Alsberg
    Alsberg is a surname of Germanic origin borne by various notable individuals, including American writer and theater director Henry Alsberg.
  • 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: Berg
Triple: [Betzdorf, Luxembourg, hasCapital, Berg]
Generated description
Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berg
Target entity description: Berg is a small town in eastern Luxembourg that serves as the administrative center of the commune of Betzdorf.
  • 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. Wilseder Berg
    Wilseder Berg is a prominent hill and popular viewpoint in northern Germany, known for its scenic heathland landscapes within the Lüneburg Heath region.
  • C. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • D. Gora
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • E. Alsberg
    Alsberg is a surname of Germanic origin borne by various notable individuals, including American writer and theater director Henry Alsberg.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75192d188190a7631bce5faf7de3 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13a8be08190a0f1fc3aec224dde completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb22ca4148190b599b48c05e5e3da completed March 21, 2026, 2:58 p.m.
NED2 Entity disambiguation (via description) batch_69beb2c80a6881908ad29936da1240d2 completed March 21, 2026, 3:01 p.m.
Created at: March 20, 2026, 1:40 p.m.