Triple

T1513527
Position Surface form Disambiguated ID Type / Status
Subject Vasco da Gama Bridge E32066 entity
Predicate maintainedBy P86 FINISHED
Object Lusoponte E167047 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: Lusoponte | Statement: [Vasco da Gama Bridge, maintainedBy, Lusoponte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lusoponte
Context triple: [Vasco da Gama Bridge, maintainedBy, Lusoponte]
  • A. Lusoponte chosen
    Lusoponte is a Portuguese concession company responsible for operating and maintaining major road bridges over the Tagus River in the Lisbon region.
  • B. Ponte Salazar
    Ponte Salazar is the former name of Lisbon’s iconic 25 de Abril Bridge, a large suspension bridge spanning the Tagus River in Portugal.
  • C. Ponte Rosso
    Ponte Rosso is a historic bridge in Trieste, Italy, spanning the Canal Grande in the city’s central district.
  • D. Puente de Alcántara
    Puente de Alcántara is a historic Roman stone arch bridge spanning the Tagus River at Toledo, Spain, renowned for its medieval towers and role as a key entrance to the old city.
  • E. Mughrabi Bridge
    Mughrabi Bridge is the wooden access ramp that leads from the Western Wall Plaza up to the Mughrabi Gate entrance of the Temple Mount/Haram al-Sharif in Jerusalem.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d901ac8190be55ed4bac609d1d completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294805308190ada3ed69ec71ce43 completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.