Triple

T10783306
Position Surface form Disambiguated ID Type / Status
Subject El Altar E254384 entity
Predicate hasPeak P8205 FINISHED
Object Tablón
Tablón is a notable summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged terrain and high-altitude Andean landscapes.
 E885766 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: Tablón | Statement: [El Altar, hasPeak, Tablón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tablón
Context triple: [El Altar, hasPeak, Tablón]
  • A. Tábua
    Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
  • B. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • C. Las Tablas
    Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
  • D. Tabuelan
    Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
  • E. Tabuaço
    Tabuaço is a Portuguese municipality in the Douro region, known for its terraced vineyards and production of Port and Douro wines.
  • 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: Tablón
Triple: [El Altar, hasPeak, Tablón]
Generated description
Tablón is a notable summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged terrain and high-altitude Andean landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tablón
Target entity description: Tablón is a notable summit of the El Altar volcanic complex in the Ecuadorian Andes, known for its rugged terrain and high-altitude Andean landscapes.
  • A. Tábua
    Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
  • B. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • C. Las Tablas
    Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
  • D. Tabuelan
    Tabuelan is a coastal municipality in the province of Cebu in the Philippines, known for its beaches and rural, laid-back atmosphere.
  • E. Tabuaço
    Tabuaço is a Portuguese municipality in the Douro region, known for its terraced vineyards and production of Port and Douro wines.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732d1b4bc8190871dd21265065705 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de5609bf9c81908f47591f74c04701 completed April 14, 2026, 2:58 p.m.
NEDg Description generation batch_69de5eadb9448190bdf69711394e2ab7 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de607917808190922df6521d7bfb07 completed April 14, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:17 p.m.