Triple

T304366
Position Surface form Disambiguated ID Type / Status
Subject Haarlemmermeer E6265 entity
Predicate contains P35 FINISHED
Object Abbenes
Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
 E40966 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: Abbenes | Statement: [Haarlemmermeer, contains, Abbenes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abbenes
Context triple: [Haarlemmermeer, contains, Abbenes]
  • A. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • B. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Guglielmi
    Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
  • 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: Abbenes
Triple: [Haarlemmermeer, contains, Abbenes]
Generated description
Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abbenes
Target entity description: Abbenes is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • A. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • B. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Guglielmi
    Guglielmi is the Italian surname of silent film icon Rudolph Valentino, reflecting his family’s origins.
  • 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea1032e48190864338e030d9dc92 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8b480388190b5f7f9e11479de91 completed March 1, 2026, 5:03 a.m.
NEDg Description generation batch_69a3c91e8b88819099e54b7869cc293d completed March 1, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69a3c9731df881908e342ace3635b5cc completed March 1, 2026, 5:06 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.