Triple

T17549940
Position Surface form Disambiguated ID Type / Status
Subject Tiswadi taluka E427431 entity
Predicate contains P35 FINISHED
Object St Estevam NE NERFINISHED

How this triple was built (2 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: St Estevam | Statement: [Tiswadi taluka, contains, St Estevam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: St Estevam
Context triple: [Tiswadi taluka, contains, St Estevam]
  • A. Santo Estêvão chosen
    Santo Estêvão is a locality in Portugal that forms part of the civil parish of São Bento do Cortiço e Santo Estêvão.
  • B. Santa Maria parish
    Santa Maria parish is a civil parish within the municipality of Tavira in Portugal’s Algarve region, known for its historic churches and traditional urban fabric.
  • C. San Cataldo
    San Cataldo is a town in central Sicily, Italy, known for its agricultural economy and proximity to the provincial capital of Caltanissetta.
  • D. Santo Paolo
    Santo Paolo is the former name of the Baroque Roman Catholic church now known as Santa Maria della Vittoria in Rome.
  • E. Santo Iago
    Santo Iago is an older Spanish form of the name Santiago, traditionally associated with Saint James and the city that bears his name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45463ddf88190a2c29f3246adcb6e completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.