Triple

T13891651
Position Surface form Disambiguated ID Type / Status
Subject Intercidades E333984 entity
Predicate mainTerminus P388 FINISHED
Object Guarda E199962 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: Guarda | Statement: [Intercidades, mainTerminus, Guarda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guarda
Context triple: [Intercidades, mainTerminus, Guarda]
  • A. Guarda chosen
    Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
  • B. Guarda
    Guarda is a picturesque historic village in Switzerland’s Engadine valley, renowned for its well-preserved traditional houses and alpine scenery.
  • C. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • D. Guardian
    Guardian is a protective role or title denoting someone charged with defending and safeguarding others, often in a custodial or security capacity.
  • E. Guardian
    A Guardian is a hostile aquatic mob in Minecraft that patrols ocean monuments, attacking players and squids with a powerful laser.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.