Triple

T876477
Position Surface form Disambiguated ID Type / Status
Subject Santa Justa Lift E18928 entity
Predicate operator P179 FINISHED
Object Carris
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
 E104039 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: Carris | Statement: [Santa Justa Lift, operator, Carris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carris
Context triple: [Santa Justa Lift, operator, Carris]
  • A. Chas
    Chas is a common diminutive or nickname for the given name Charles.
  • B. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • C. Cariad
    Cariad is a Volkswagen Group software subsidiary focused on developing automotive software, digital platforms, and advanced driver-assistance technologies for the company’s vehicle brands.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • 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: Carris
Triple: [Santa Justa Lift, operator, Carris]
Generated description
Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carris
Target entity description: Carris is the main public transport company in Lisbon, Portugal, operating the city's buses, trams, and certain historic lifts.
  • A. Chas
    Chas is a common diminutive or nickname for the given name Charles.
  • B. Parker
    Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • C. Cariad
    Cariad is a Volkswagen Group software subsidiary focused on developing automotive software, digital platforms, and advanced driver-assistance technologies for the company’s vehicle brands.
  • D. Carla
    Carla is a feminine given name commonly used in various languages, often considered the female form of Carl or Charles.
  • E. Cassibile
    Cassibile is a village in southeastern Sicily, Italy, historically notable as the site where the 1943 armistice between Italy and the Allies was signed during World War II.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4acaf30a48190a10ed7fee464c444 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b8520a008190a15bdb93e8ce2438 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b9774df881908fbd4d1b54442cdc completed March 4, 2026, 4:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba46a2ec8190892404cb1f259cf0 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.