Triple

T7550227
Position Surface form Disambiguated ID Type / Status
Subject Chenoua Massif E178511 entity
Predicate near P350 FINISHED
Object Tipaza
Tipaza is a coastal town in northern Algeria known for its significant Roman archaeological ruins and scenic Mediterranean setting.
 E671843 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: Tipaza | Statement: [Chenoua Massif, near, Tipaza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tipaza
Context triple: [Chenoua Massif, near, Tipaza]
  • A. Tapaz
    Tapaz is a landlocked agricultural municipality in the province of Capiz on Panay Island in the Philippines, known for its rural landscapes and river valleys.
  • B. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • C. Palatak
    Palatak is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • 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: Tipaza
Triple: [Chenoua Massif, near, Tipaza]
Generated description
Tipaza is a coastal town in northern Algeria known for its significant Roman archaeological ruins and scenic Mediterranean setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tipaza
Target entity description: Tipaza is a coastal town in northern Algeria known for its significant Roman archaeological ruins and scenic Mediterranean setting.
  • A. Tapaz
    Tapaz is a landlocked agricultural municipality in the province of Capiz on Panay Island in the Philippines, known for its rural landscapes and river valleys.
  • B. Tupiza
    Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
  • C. Palatak
    Palatak is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
  • D. Pitalito
    Pitalito is a major town and coffee-producing hub in southern Colombia, known as one of the country’s most important centers for high-quality coffee.
  • E. Mazunte
    Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b35ba481908e1e5bbf329daa33 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2f7c448190858510d1511b42a7 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c8504aadc88190bc97c33fb19a5230 completed March 28, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69c8528a8bd081908a281d2827f5587d completed March 28, 2026, 10:13 p.m.
Created at: March 27, 2026, 3:49 p.m.