Triple

T12677285
Position Surface form Disambiguated ID Type / Status
Subject Linha do Oeste E302848 entity
Predicate passesThrough P225 FINISHED
Object Marinha Grande E381168 NE FINISHED

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: Marinha Grande | Statement: [Linha do Oeste, passesThrough, Marinha Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marinha Grande
Context triple: [Linha do Oeste, passesThrough, Marinha Grande]
  • A. Marinha Grande chosen
    Marinha Grande is a Portuguese city known historically for its glass industry and proximity to the Atlantic coast and the Leiria Pine Forest.
  • B. Peniche
    Peniche is a coastal Portuguese city renowned for its fishing harbor, historic fortifications, and world-class surfing beaches like Supertubos.
  • C. Almada
    Almada is a Portuguese city located on the south bank of the Tagus River, opposite Lisbon, known for its panoramic views of the capital and its prominent Cristo Rei statue.
  • D. Porto Grande
    Porto Grande is the historic natural harbor of Valletta, Malta, renowned for its deep, sheltered waters and strategic importance in Mediterranean maritime trade and naval history.
  • E. Camorim
    Camorim is a neighborhood located in the West Zone of Rio de Janeiro, Brazil, known for its proximity to natural areas and growing residential developments.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961b0d9c88190a05d6cbcb7a1642d completed April 10, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a341288190822fae2469efea09 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.