Triple

T407202
Position Surface form Disambiguated ID Type / Status
Subject Barcelona E9407 entity
Predicate hasPublicTransportSystem P474 FINISHED
Object Trambaix
Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
E51268 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: Trambaix | Statement: [Barcelona, hasPublicTransportSystem, Trambaix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trambaix
Context triple: [Barcelona, hasPublicTransportSystem, Trambaix]
  • A. Cailliau
    Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
  • B. Collex-Bossy
    Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
  • C. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • 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: Trambaix
Triple: [Barcelona, hasPublicTransportSystem, Trambaix]
Generated description
Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trambaix
Target entity description: Trambaix is a modern tram network serving the metropolitan area of Barcelona, particularly its western suburbs and nearby municipalities.
  • A. Cailliau
    Cailliau is the surname of Robert Cailliau, a Belgian computer scientist known for co-developing the World Wide Web.
  • B. Collex-Bossy
    Collex-Bossy is a small municipality in the canton of Geneva in southwestern Switzerland, known for its rural character and proximity to the French border.
  • C. Gachetá
    Gachetá is a municipality and town located in the Cundinamarca Department of central Colombia, known for its agricultural activities and Andean highland landscapes.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Brega
    Brega is a strategic coastal town in northeastern Libya known for its major oil facilities and its role as a key battleground during the 2011 Libyan Civil War.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbd766c8190bb8a91605929156a completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f75e5481908b7a0f070dec5c56 completed March 1, 2026, 10:24 a.m.
NEDg Description generation batch_69a41464d2a8819085ee2fc8a86a7628 completed March 1, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69a414a7aff08190ab54f4118cec790d completed March 1, 2026, 10:27 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.