Triple

T4585203
Position Surface form Disambiguated ID Type / Status
Subject Gran Paradiso massif E101950 entity
Predicate containsPeak P8205 FINISHED
Object Punta Fourà
Punta Fourà is a mountain peak in the Italian Alps that forms part of the Gran Paradiso massif.
 E454668 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: Punta Fourà | Statement: [Gran Paradiso massif, containsPeak, Punta Fourà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Punta Fourà
Context triple: [Gran Paradiso massif, containsPeak, Punta Fourà]
  • A. Punta La Marmora
    Punta La Marmora is the tallest mountain in Sardinia, Italy, located in the Gennargentu range and known for its panoramic views over the island.
  • B. Punta Raisi
    Punta Raisi is a coastal area in the municipality of Cinisi, near Palermo in Sicily, known primarily as the site of Palermo’s main international airport.
  • C. Punta Brava
    Punta Brava is a locality in Cuba historically known as the site where independence leader Antonio Maceo was killed in battle.
  • D. Cala d’Hort
    Cala d’Hort is a scenic beach on the southwest coast of Ibiza, famed for its views of the mystical Es Vedrà rock island and its sunsets.
  • E. Peñón del Santo
    Peñón del Santo is a prominent rocky promontory and viewpoint on the coast of Almuñécar in southern Spain, known for its scenic sea vistas and religious monument.
  • 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: Punta Fourà
Triple: [Gran Paradiso massif, containsPeak, Punta Fourà]
Generated description
Punta Fourà is a mountain peak in the Italian Alps that forms part of the Gran Paradiso massif.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Punta Fourà
Target entity description: Punta Fourà is a mountain peak in the Italian Alps that forms part of the Gran Paradiso massif.
  • A. Punta La Marmora
    Punta La Marmora is the tallest mountain in Sardinia, Italy, located in the Gennargentu range and known for its panoramic views over the island.
  • B. Punta Raisi
    Punta Raisi is a coastal area in the municipality of Cinisi, near Palermo in Sicily, known primarily as the site of Palermo’s main international airport.
  • C. Punta Brava
    Punta Brava is a locality in Cuba historically known as the site where independence leader Antonio Maceo was killed in battle.
  • D. Cala d’Hort
    Cala d’Hort is a scenic beach on the southwest coast of Ibiza, famed for its views of the mystical Es Vedrà rock island and its sunsets.
  • E. Peñón del Santo
    Peñón del Santo is a prominent rocky promontory and viewpoint on the coast of Almuñécar in southern Spain, known for its scenic sea vistas and religious monument.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59056bb48190ba1e0b5beda9bdc4 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0a18c90819083953e78fc6de8db completed March 21, 2026, 12:04 a.m.
NEDg Description generation batch_69bde2520f248190b746a322a3ec60bc completed March 21, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_69bde2aaf654819093e1cb3a533fead1 completed March 21, 2026, 12:13 a.m.
Created at: March 20, 2026, 1:10 p.m.