Triple

T2302969
Position Surface form Disambiguated ID Type / Status
Subject Trambesòs E51772 entity
Predicate terminus P388 FINISHED
Object Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
 E253351 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: Gorg | Statement: [Trambesòs, terminus, Gorg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gorg
Context triple: [Trambesòs, terminus, Gorg]
  • A. Nausithous
    Nausithous is a lesser-known figure in Greek mythology, traditionally named as one of the sons of the nymph Calypso.
  • B. Glaucus
    Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
  • C. Glaucus
    Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
  • D. Dagon
    Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
  • E. Charybdis
    Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
  • 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: Gorg
Triple: [Trambesòs, terminus, Gorg]
Generated description
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gorg
Target entity description: Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
  • A. Nausithous
    Nausithous is a lesser-known figure in Greek mythology, traditionally named as one of the sons of the nymph Calypso.
  • B. Glaucus
    Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
  • C. Glaucus
    Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
  • D. Dagon
    Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
  • E. Charybdis
    Charybdis is a monstrous sea creature from Greek mythology, often depicted as a deadly whirlpool that threatens sailors alongside the monster Scylla.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5f101dc8190824346e6ae564e51 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f332e788190b1dd4b8b0bbfe5d7 completed March 9, 2026, 8:05 a.m.
NEDg Description generation batch_69ae802a066881909aa4e7b00e29306f completed March 9, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69ae80c37ff48190a24b7806320ebc00 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:49 p.m.