Triple

T7502884
Position Surface form Disambiguated ID Type / Status
Subject Zaanstad E177308 entity
Predicate contains P35 FINISHED
Object Krommenie
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
 E668287 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: Krommenie | Statement: [Zaanstad, contains, Krommenie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Krommenie
Context triple: [Zaanstad, contains, Krommenie]
  • A. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • B. Graudenz
    Graudenz is the German name for the historic city of Grudziądz, now in northern Poland, known for its medieval fortifications and strategic location on the Vistula River.
  • C. Markusy
    Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
  • D. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • E. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • 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: Krommenie
Triple: [Zaanstad, contains, Krommenie]
Generated description
Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Krommenie
Target entity description: Krommenie is a town in the Dutch province of North Holland, known as a former industrial village that is now part of the municipality of Zaanstad.
  • A. Kromołów
    Kromołów is a historic district of the city of Zawiercie in southern Poland, known as the place where the Warta River begins.
  • B. Graudenz
    Graudenz is the German name for the historic city of Grudziądz, now in northern Poland, known for its medieval fortifications and strategic location on the Vistula River.
  • C. Markusy
    Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
  • D. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • E. Gietrzwałd
    Gietrzwałd is a village in northern Poland known as a Catholic pilgrimage site due to reported Marian apparitions in 1877.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59be2748190ad8e94179f594e51 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9953e88190a1e0e899f2ddf822 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83defe434819086bf6d63c8f2675e completed March 28, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69c83e531ea881909b6186de9adbccc0 completed March 28, 2026, 8:47 p.m.
Created at: March 27, 2026, 3:44 p.m.