Triple

T5249281
Position Surface form Disambiguated ID Type / Status
Subject Tajo River E118542 entity
Predicate passesThroughCity P416 FINISHED
Object Alcántara E383635 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: Alcántara | Statement: [Tajo River, passesThroughCity, Alcántara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcántara
Context triple: [Tajo River, passesThroughCity, Alcántara]
  • A. Alcántara chosen
    Alcántara is a historic town in western Spain, near the Portuguese border, renowned for its monumental Roman bridge and rich architectural heritage.
  • B. Puente de Aragón
    Puente de Aragón is a road bridge in Valencia, Spain, that spans the Turia River and connects key districts of the city.
  • C. Puente de Serranos
    Puente de Serranos is a historic bridge in Valencia, Spain, spanning the Turia River and connecting the old city with the northern districts.
  • D. Vielha Tunnel
    Vielha Tunnel is a major road tunnel in the central Pyrenees that provides a key transport link connecting the Val d’Aran with the rest of Catalonia and Spain.
  • E. Puente Villena Rey
    Puente Villena Rey is a prominent bridge and viewpoint in Lima’s Miraflores district, known for its coastal vistas over the Costa Verde and the Pacific Ocean.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b787b34819081af96de9355bb4f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef83998f881909fef2746f5c496af completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.