Triple

T1332517
Position Surface form Disambiguated ID Type / Status
Subject Stadhouderskade E28674 entity
Predicate borders P224 FINISHED
Object De Pijp E31903 NE FINISHED

How this triple was built (2 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: De Pijp | Statement: [Stadhouderskade, borders, De Pijp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Pijp
Context triple: [Stadhouderskade, borders, De Pijp]
  • A. De Pijp chosen
    De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
  • B. De Wallen
    De Wallen is Amsterdam’s most famous red-light district, known for its historic canals, legalized prostitution, and vibrant nightlife.
  • C. Bergen op Zoom
    Bergen op Zoom is a historic city in the Dutch province of North Brabant, known for its medieval center, fortifications, and location near the Scheldt estuary.
  • D. Grachtengordel
    Grachtengordel is the famous ring of 17th-century canals encircling Amsterdam’s historic center, renowned for its picturesque waterways and canal houses.
  • E. De Pijp neighborhood
    De Pijp neighborhood is a vibrant, densely populated district in Amsterdam known for its multicultural atmosphere, lively cafés, and the famous Albert Cuyp Market.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a498561a508190a3e1bc137c2b866a completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1e7f1388190a6e4eb65a7997380 completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf383b24819092acd076130ca5c0 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:55 p.m.