Triple

T5749729
Position Surface form Disambiguated ID Type / Status
Subject Antwerp Province E126820 entity
Predicate highestPoint P210 FINISHED
Object Beerzelberg
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
E543568 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: Beerzelberg | Statement: [Antwerp Province, highestPoint, Beerzelberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beerzelberg
Context triple: [Antwerp Province, highestPoint, Beerzelberg]
  • A. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • B. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • C. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • D. Drakesteijn
    Drakesteijn is an alternative spelling of Drakensteyn Castle, a historic royal residence in the Netherlands associated with the Dutch royal family.
  • E. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • 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: Beerzelberg
Triple: [Antwerp Province, highestPoint, Beerzelberg]
Generated description
Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beerzelberg
Target entity description: Beerzelberg is a modest hill in Belgium known as the highest natural point in Antwerp Province.
  • A. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • B. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • C. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • D. Drakesteijn
    Drakesteijn is an alternative spelling of Drakensteyn Castle, a historic royal residence in the Netherlands associated with the Dutch royal family.
  • E. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288870fc819080e883c9d589359b completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e358d908190a37e5df89df3aedc completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c089020764819090a1927c65f9e870 completed March 23, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_69c0897b75e481909adc413fa73e9496 completed March 23, 2026, 12:29 a.m.
Created at: March 22, 2026, 3:48 p.m.