Triple

T9649631
Position Surface form Disambiguated ID Type / Status
Subject Biskra Province E233299 entity
Predicate hasCity P316 FINISHED
Object El Kantara
El Kantara is a historic Algerian town famed for its dramatic gorge and strategic location linking the Sahara Desert to northern Algeria.
 E811812 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: El Kantara | Statement: [Biskra Province, hasCity, El Kantara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Kantara
Context triple: [Biskra Province, hasCity, El Kantara]
  • A. Las Caletas
    Las Caletas is a small coastal settlement on the southern part of La Palma in Spain’s Canary Islands, known for its volcanic landscapes and Atlantic shoreline.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • D. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • E. Sa Calobra
    Sa Calobra is a small, picturesque cove and beach on the northwest coast of Mallorca, Spain, famed for its dramatic cliffs, winding access road, and the nearby Torrent de Pareis gorge.
  • 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: El Kantara
Triple: [Biskra Province, hasCity, El Kantara]
Generated description
El Kantara is a historic Algerian town famed for its dramatic gorge and strategic location linking the Sahara Desert to northern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Kantara
Target entity description: El Kantara is a historic Algerian town famed for its dramatic gorge and strategic location linking the Sahara Desert to northern Algeria.
  • A. Las Caletas
    Las Caletas is a small coastal settlement on the southern part of La Palma in Spain’s Canary Islands, known for its volcanic landscapes and Atlantic shoreline.
  • B. Karavola
    Karavola is the summit that forms the highest peak of Mount Parnitha in Greece.
  • C. Ontinyent
    Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
  • D. La Mar
    La Mar is an archaeological site in the western Maya lowlands known for its Classic-period Maya ruins and inscriptions.
  • E. Sa Calobra
    Sa Calobra is a small, picturesque cove and beach on the northwest coast of Mallorca, Spain, famed for its dramatic cliffs, winding access road, and the nearby Torrent de Pareis gorge.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18262dc50819089cfc17c770a1a90 completed April 4, 2026, 9:28 p.m.
NEDg Description generation batch_69d183452244819080de72fda8e14e67 completed April 4, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d183d506b881909375aadaaa616386 completed April 4, 2026, 9:34 p.m.
Created at: March 30, 2026, 8:13 p.m.