Triple

T15614860
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Ayllón E375385 entity
Predicate hasPeak P8205 FINISHED
Object Ocejón
Ocejón is a prominent mountain peak in central Spain, known for its distinctive silhouette and popularity among hikers in the Sierra de Ayllón range.
 E1165942 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: Ocejón | Statement: [Sierra de Ayllón, hasPeak, Ocejón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ocejón
Context triple: [Sierra de Ayllón, hasPeak, Ocejón]
  • A. Océan
    Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
  • B. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • C. Etzatlán
    Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
  • D. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • E. El Nayar
    El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
  • 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: Ocejón
Triple: [Sierra de Ayllón, hasPeak, Ocejón]
Generated description
Ocejón is a prominent mountain peak in central Spain, known for its distinctive silhouette and popularity among hikers in the Sierra de Ayllón range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ocejón
Target entity description: Ocejón is a prominent mountain peak in central Spain, known for its distinctive silhouette and popularity among hikers in the Sierra de Ayllón range.
  • A. Océan
    Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
  • B. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • C. Etzatlán
    Etzatlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activities and traditional crafts.
  • D. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • E. El Nayar
    El Nayar is a municipality in the Mexican state of Nayarit, known for its rugged Sierra Madre Occidental terrain and significant indigenous communities.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e83407c8190abbcd4b7fab0ff85 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56dd1e4c819090bf3cd4425b39b7 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff577e0ed08190a8f10f9e57c0e967 completed May 9, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff584b7b28819096fd2fad58ca32d6 completed May 9, 2026, 3:52 p.m.
Created at: April 10, 2026, 4:13 a.m.