Triple

T12871362
Position Surface form Disambiguated ID Type / Status
Subject Northern Algeria E307856 entity
Predicate contains P35 FINISHED
Object Skikda
Skikda is a coastal city in northeastern Algeria known for its Mediterranean port, petrochemical industry, and nearby beaches.
E1006373 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: Skikda | Statement: [Northern Algeria, contains, Skikda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skikda
Context triple: [Northern Algeria, contains, Skikda]
  • A. Ruka ski resort
    Ruka ski resort is a major Finnish winter sports destination in Kuusamo, renowned for its extensive ski slopes, snow-sure season, and international skiing and snowboarding events.
  • B. Shemshak Ski Resort
    Shemshak Ski Resort is a popular Iranian ski destination in the Alborz Mountains near Tehran, known for its steep slopes and appeal to advanced skiers.
  • C. Seli Ski Resort
    Seli Ski Resort is one of Greece’s oldest and most popular alpine ski centers, located on the slopes of Mount Vermio in northern Greece.
  • D. Formigal ski resort
    Formigal ski resort is a major alpine skiing destination in the Spanish Pyrenees, known for its extensive slopes and modern facilities.
  • E. Skiptvet
    Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
  • 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: Skikda
Triple: [Northern Algeria, contains, Skikda]
Generated description
Skikda is a coastal city in northeastern Algeria known for its Mediterranean port, petrochemical industry, and nearby beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skikda
Target entity description: Skikda is a coastal city in northeastern Algeria known for its Mediterranean port, petrochemical industry, and nearby beaches.
  • A. Ruka ski resort
    Ruka ski resort is a major Finnish winter sports destination in Kuusamo, renowned for its extensive ski slopes, snow-sure season, and international skiing and snowboarding events.
  • B. Shemshak Ski Resort
    Shemshak Ski Resort is a popular Iranian ski destination in the Alborz Mountains near Tehran, known for its steep slopes and appeal to advanced skiers.
  • C. Seli Ski Resort
    Seli Ski Resort is one of Greece’s oldest and most popular alpine ski centers, located on the slopes of Mount Vermio in northern Greece.
  • D. Formigal ski resort
    Formigal ski resort is a major alpine skiing destination in the Spanish Pyrenees, known for its extensive slopes and modern facilities.
  • E. Skiptvet
    Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69cc60c488190a5a71e25c075e9ff completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.