Triple

T11892981
Position Surface form Disambiguated ID Type / Status
Subject Anhangabaú station (São Paulo Metro) E282965 entity
Predicate locatedInDistrict P40 FINISHED
Object
Sé is a central district in São Paulo, Brazil, known as the historic and administrative heart of the city, encompassing major landmarks, government buildings, and key transportation hubs.
E953545 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: Sé | Statement: [Anhangabaú station (São Paulo Metro), locatedInDistrict, Sé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sé
Context triple: [Anhangabaú station (São Paulo Metro), locatedInDistrict, Sé]
  • A.
    Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Suseo
    Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
  • D. Semaun
    Semaun was an Indonesian communist leader and trade union organizer who became the first chairman of the Indonesian Communist Party (PKI).
  • E. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • 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: Sé
Triple: [Anhangabaú station (São Paulo Metro), locatedInDistrict, Sé]
Generated description
Sé is a central district in São Paulo, Brazil, known as the historic and administrative heart of the city, encompassing major landmarks, government buildings, and key transportation hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sé
Target entity description: Sé is a central district in São Paulo, Brazil, known as the historic and administrative heart of the city, encompassing major landmarks, government buildings, and key transportation hubs.
  • A.
    Sé is a civil parish that forms part of the historic city of Angra do Heroísmo in the Azores, Portugal.
  • B. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • C. Suseo
    Suseo is a neighborhood in southeastern Seoul, South Korea, known for its major high-speed rail station that links the capital to cities such as Busan.
  • D. Semaun
    Semaun was an Indonesian communist leader and trade union organizer who became the first chairman of the Indonesian Communist Party (PKI).
  • E. Segusio
    Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1172988190a2c13d37220f2f93 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4180569ac81909137d56374e800c0 completed May 1, 2026, 3:03 a.m.
NEDg Description generation batch_69f41f1abaa481908b8a6873a07af848 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f422778a10819093bc2473ef30fe71 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.