Triple

T7876466
Position Surface form Disambiguated ID Type / Status
Subject Municipality of The Hague E182867 entity
Predicate contains P35 FINISHED
Object Escamp
Escamp is a largely residential district in the southwest of The Hague in the Netherlands, known for its post-war housing and diverse population.
E701571 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: Escamp | Statement: [Municipality of The Hague, contains, Escamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escamp
Context triple: [Municipality of The Hague, contains, Escamp]
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • C. Moclus
    Moclus is the industrial, militaristic, and rigidly structured home planet of the all-male Moclan species in the science fiction series "The Orville."
  • D. Itabi
    Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
  • E. Gamprin
    Gamprin is a small municipality in the western part of Liechtenstein, known for its rural character and location along the Rhine River.
  • 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: Escamp
Triple: [Municipality of The Hague, contains, Escamp]
Generated description
Escamp is a largely residential district in the southwest of The Hague in the Netherlands, known for its post-war housing and diverse population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Escamp
Target entity description: Escamp is a largely residential district in the southwest of The Hague in the Netherlands, known for its post-war housing and diverse population.
  • A. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • B. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • C. Moclus
    Moclus is the industrial, militaristic, and rigidly structured home planet of the all-male Moclan species in the science fiction series "The Orville."
  • D. Itabi
    Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
  • E. Gamprin
    Gamprin is a small municipality in the western part of Liechtenstein, known for its rural character and location along the Rhine River.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39aa7ca88190b88a18f6a8971e51 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b7fef308190bbc74e13f4205192 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb7630b8908190a0b8f4856bceea0a completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbfb894588190971ade076acdbd5c completed March 31, 2026, 12:36 p.m.
Created at: March 30, 2026, 4:57 p.m.