Triple

T14514760
Position Surface form Disambiguated ID Type / Status
Subject Battle of Santander E340487 entity
Predicate capturedCity P8411 FINISHED
Object Reinosa E754678 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: Reinosa | Statement: [Battle of Santander, capturedCity, Reinosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reinosa
Context triple: [Battle of Santander, capturedCity, Reinosa]
  • A. Reinosa chosen
    Reinosa is a small industrial and service-oriented town in northern Spain, located in the autonomous community of Cantabria near the headwaters of the Ebro River.
  • B. Ardolino
    Ardolino is an Italian surname most notably associated with Emile Ardolino, the American film director and producer known for works like "Dirty Dancing."
  • C. Becán
    Becán is a major Maya archaeological site in Mexico’s Campeche region, notable for its defensive moat and impressive Classic-period architecture.
  • D. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • E. Domaso
    Domaso is a picturesque lakeside town on the northern shore of Lake Como in Italy, known for its waterfront promenades, water sports, and scenic mountain backdrop.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.