Triple

T28409821
Position Surface form Disambiguated ID Type / Status
Subject Sint-Stevens-Woluwe E719632 entity
Predicate locatedInNUTS3 P103735 FINISHED
Object BE241 Halle-Vilvoorde
BE241 Halle-Vilvoorde is a NUTS 3 statistical region in the Flemish Brabant province of Belgium that includes municipalities in the area southwest and east of Brussels.
 E1816861 NE FINISHED

How this triple was built (3 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: BE241 Halle-Vilvoorde | Statement: [Sint-Stevens-Woluwe, locatedInNUTS3, BE241 Halle-Vilvoorde]
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: BE241 Halle-Vilvoorde
Triple: [Sint-Stevens-Woluwe, locatedInNUTS3, BE241 Halle-Vilvoorde]
Generated description
BE241 Halle-Vilvoorde is a NUTS 3 statistical region in the Flemish Brabant province of Belgium that includes municipalities in the area southwest and east of Brussels.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: locatedInNUTS3
Context triple: [Sint-Stevens-Woluwe, locatedInNUTS3, BE241 Halle-Vilvoorde]
  • A. locatedInNUTS2
    Indicates that one entity is geographically situated within, or belongs to, a specific NUTS-2 (Nomenclature of Territorial Units for Statistics level 2) region.
  • B. isLocatedInSubdivision chosen
    Indicates that one place or entity is situated within a more specific administrative or geographic subdivision of another area.
  • C. isLocatedOn
    Indicates that one entity exists at or is situated upon the surface or area of another entity.
  • D. locatedInRegionalCouncil
    Indicates that one entity is geographically situated within the jurisdictional area governed by a specific regional council.
  • E. locatedInHubOf
    Indicates that one entity is situated within the central hub or core area associated with another entity.
  • F. None of above.

Provenance (6 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_69eff6f0f37c8190b37bc6fab08a9449 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69ff7595c9bc8190982c6e6e07a0c78f completed May 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1633164af08190afff502873b1e54b completed May 26, 2026, 11:56 p.m.
NEDg Description generation batch_6a1633dd88848190bf73982c2ce00ffd completed May 26, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a16365587e08190b93663807e950946 completed May 27, 2026, 12:09 a.m.
PD Predicate disambiguation batch_69ff715432a88190a25670d26614bde2 completed May 9, 2026, 5:39 p.m.
Created at: April 28, 2026, 1:25 a.m.