Triple

T14556554
Position Surface form Disambiguated ID Type / Status
Subject Sétif E341555 entity
Predicate historicalName P65 FINISHED
Object Sitifis
Sitifis was the Roman-era city and military colony that occupied the site of modern-day Sétif in northeastern Algeria.
 E1105998 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: Sitifis | Statement: [Sétif, historicalName, Sitifis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sitifis
Context triple: [Sétif, historicalName, Sitifis]
  • A. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • B. Saphrax
    Saphrax was a Gothic military leader who played a prominent role in the late 4th-century conflicts between the Goths and the Eastern Roman Empire.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Lifar
    Lifar is a surname most notably associated with Serge Lifar, a prominent 20th-century ballet dancer and choreographer.
  • E. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • 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: Sitifis
Triple: [Sétif, historicalName, Sitifis]
Generated description
Sitifis was the Roman-era city and military colony that occupied the site of modern-day Sétif in northeastern Algeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sitifis
Target entity description: Sitifis was the Roman-era city and military colony that occupied the site of modern-day Sétif in northeastern Algeria.
  • A. Scallabis
    Scallabis was the ancient Roman name for the city now known as Santarém in central Portugal, an important settlement in the Roman province of Lusitania.
  • B. Saphrax
    Saphrax was a Gothic military leader who played a prominent role in the late 4th-century conflicts between the Goths and the Eastern Roman Empire.
  • C. Ferike
    Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
  • D. Lifar
    Lifar is a surname most notably associated with Serge Lifar, a prominent 20th-century ballet dancer and choreographer.
  • E. Faltine
    Faltine are powerful extra-dimensional energy beings in the Marvel Universe, known for their immense mystical abilities and for producing entities like Dormammu.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f1490881908673f429e5288c86 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8abde0308190819da6867e703ea7 completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8bb3c1188190b158d30e9c962911 completed May 8, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69fd8c6e7d448190835f87e27c998623 completed May 8, 2026, 7:10 a.m.
Created at: April 10, 2026, 1:23 a.m.