Triple

T20216401
Position Surface form Disambiguated ID Type / Status
Subject Binnenhaven (Hasselt) E495136 entity
Predicate hasNameInLanguage P15 FINISHED
Object Binnenhaven
Binnenhaven is a harbor area in the city of Hasselt, Belgium, used primarily for inland shipping and local waterfront activities.
E1418022 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: Binnenhaven | Statement: [Binnenhaven (Hasselt), hasNameInLanguage, Binnenhaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Binnenhaven
Context triple: [Binnenhaven (Hasselt), hasNameInLanguage, Binnenhaven]
  • A. Überseehafen
    Überseehafen is a major overseas port facility in Bremerhaven, Germany, serving as an important hub for international maritime trade and cargo handling.
  • B. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • C. Veere harbor
    Veere harbor is a historic waterfront and former trading port in the Dutch town of Veere, known for its picturesque quays, maritime heritage, and well-preserved old-world atmosphere.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • 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: Binnenhaven
Triple: [Binnenhaven (Hasselt), hasNameInLanguage, Binnenhaven]
Generated description
Binnenhaven is a harbor area in the city of Hasselt, Belgium, used primarily for inland shipping and local waterfront activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Binnenhaven
Target entity description: Binnenhaven is a harbor area in the city of Hasselt, Belgium, used primarily for inland shipping and local waterfront activities.
  • A. Überseehafen
    Überseehafen is a major overseas port facility in Bremerhaven, Germany, serving as an important hub for international maritime trade and cargo handling.
  • B. Steinsel
    Steinsel is a small commune and town in central Luxembourg, situated just north of the capital city.
  • C. Veere harbor
    Veere harbor is a historic waterfront and former trading port in the Dutch town of Veere, known for its picturesque quays, maritime heritage, and well-preserved old-world atmosphere.
  • D. Hoendiep
    Hoendiep is a canal in the Dutch province of Groningen that serves as an important regional waterway and transport route.
  • E. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66eda2f188190adf39d895e8b99f2 completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0843f6580c8190a615d79f15f8143d completed May 16, 2026, 10:16 a.m.
NEDg Description generation batch_6a08449001b4819089cd6399ad76fe49 completed May 16, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a08452b6f9c8190bcaf705698b4a6d2 completed May 16, 2026, 10:21 a.m.
Created at: April 11, 2026, 11:38 p.m.