Triple

T19421154
Position Surface form Disambiguated ID Type / Status
Subject Waadhoeke E485855 entity
Predicate contains P35 FINISHED
Object Peins
Peins is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
E1375841 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: Peins | Statement: [Waadhoeke, contains, Peins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peins
Context triple: [Waadhoeke, contains, Peins]
  • A. Painten
    Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
  • B. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • C. Penebui
    Penebui was an ancient Egyptian queen consort of the 2nd Dynasty pharaoh Djer, known primarily from early dynastic inscriptions and tomb evidence.
  • D. Pantjeny
    Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • E. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • 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: Peins
Triple: [Waadhoeke, contains, Peins]
Generated description
Peins is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peins
Target entity description: Peins is a small village in the municipality of Waadhoeke in the province of Friesland in the northern Netherlands.
  • A. Painten
    Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
  • B. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • C. Penebui
    Penebui was an ancient Egyptian queen consort of the 2nd Dynasty pharaoh Djer, known primarily from early dynastic inscriptions and tomb evidence.
  • D. Pantjeny
    Pantjeny was a relatively obscure pharaoh of ancient Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • E. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63214d768819082129100d7116521 completed April 20, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733d1d4148190b7dae069a76e7041 completed May 15, 2026, 2:55 p.m.
NEDg Description generation batch_6a0735ce9a348190af1d3f58f1bb26cd completed May 15, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0736c250708190a6f9ac2364038432 completed May 15, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:37 p.m.