Triple

T20902903
Position Surface form Disambiguated ID Type / Status
Subject Borger-Odoorn E514714 entity
Predicate contains P35 FINISHED
Object Eldersloo
Eldersloo is a small village in the Dutch province of Drenthe, situated within the municipality of Borger-Odoorn.
E1456692 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: Eldersloo | Statement: [Borger-Odoorn, contains, Eldersloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eldersloo
Context triple: [Borger-Odoorn, contains, Eldersloo]
  • A. Oldenzaal
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • B. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • C. Eelde
    Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
  • D. Bommershoven
    Bommershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
  • E. Oldehove
    Oldehove is a historic, unfinished leaning church tower in Leeuwarden, Netherlands, known as a prominent landmark of the city.
  • 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: Eldersloo
Triple: [Borger-Odoorn, contains, Eldersloo]
Generated description
Eldersloo is a small village in the Dutch province of Drenthe, situated within the municipality of Borger-Odoorn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eldersloo
Target entity description: Eldersloo is a small village in the Dutch province of Drenthe, situated within the municipality of Borger-Odoorn.
  • A. Oldenzaal
    Oldenzaal is a historic city in the eastern Netherlands known for its medieval center and location near the German border in the province of Overijssel.
  • B. Loenersloot
    Loenersloot is a small village in the Dutch province of Utrecht, known for its historic Loenersloot Castle and rural setting along the river Vecht.
  • C. Eelde
    Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
  • D. Bommershoven
    Bommershoven is a village in the Belgian province of Limburg that forms one of the municipal sections of the city of Borgloon.
  • E. Oldehove
    Oldehove is a historic, unfinished leaning church tower in Leeuwarden, Netherlands, known as a prominent landmark of the city.
  • 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fd7e4481909088b7f74ba24549 completed April 21, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918d4dd548190a18f917a91eca161 completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a0919aae8e88190abd9e20ff1cecebe completed May 17, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a091a6dc2c8819090618097438a2c00 completed May 17, 2026, 1:31 a.m.
Created at: April 16, 2026, 12:47 p.m.