Triple

T5466192
Position Surface form Disambiguated ID Type / Status
Subject Pope Benedict XIII E122715 entity
Predicate deathPlace P21 FINISHED
Object Peñíscola
Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
 E523548 NE FINISHED

How this triple was built (4 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: Peñíscola | Statement: [Pope Benedict XIII, deathPlace, Peñíscola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peñíscola
Context triple: [Pope Benedict XIII, deathPlace, Peñíscola]
  • A. Denia
    Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
  • B. Pollença
    Pollença is a historic town in northern Mallorca, Spain, known for its charming stone streets, traditional architecture, and proximity to scenic coastal and mountain landscapes.
  • C. Cadaqués
    Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
  • D. Pietrasanta
    Pietrasanta is a historic Tuscan town in Italy renowned for its marble workshops, sculpture studios, and vibrant community of international artists.
  • E. Pietrasanta
    Pietrasanta is an Italian surname of likely toponymic origin, associated with individuals such as Angela Maria Pietrasanta.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peñíscola
Triple: [Pope Benedict XIII, deathPlace, Peñíscola]
Generated description
Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peñíscola
Target entity description: Peñíscola is a historic fortified coastal town in eastern Spain, renowned for its medieval castle overlooking the Mediterranean Sea.
  • A. Denia
    Denia is a coastal city on Spain’s Costa Blanca known for its historic castle, Mediterranean beaches, and vibrant port.
  • B. Pollença
    Pollença is a historic town in northern Mallorca, Spain, known for its charming stone streets, traditional architecture, and proximity to scenic coastal and mountain landscapes.
  • C. Cadaqués
    Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
  • D. Pietrasanta
    Pietrasanta is a historic Tuscan town in Italy renowned for its marble workshops, sculpture studios, and vibrant community of international artists.
  • E. Pietrasanta
    Pietrasanta is an Italian surname of likely toponymic origin, associated with individuals such as Angela Maria Pietrasanta.
  • F. None of above. chosen

Provenance (5 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9217009c819082631a2758b5f2a4 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488da1d8819091e1cad0500b1747 completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf4f5d620881908b460af328750cb7 completed March 22, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69bf4fca93a08190b573e66d28aff4a3 completed March 22, 2026, 2:11 a.m.
Created at: March 20, 2026, 2:08 p.m.