Triple

T2030364
Position Surface form Disambiguated ID Type / Status
Subject Sabines E44501 entity
Predicate inhabitedRegion P6481 FINISHED
Object Sabinum
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
E225367 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: Sabinum | Statement: [Sabines, inhabitedRegion, Sabinum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabinum
Context triple: [Sabines, inhabitedRegion, Sabinum]
  • A. Saepinum
    Saepinum was an ancient town of the Samnite people in south-central Italy, later developed into a Roman municipium whose ruins are still visible today.
  • B. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • C. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • D. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • E. Tithorea
    Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
  • 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: Sabinum
Triple: [Sabines, inhabitedRegion, Sabinum]
Generated description
Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sabinum
Target entity description: Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
  • A. Saepinum
    Saepinum was an ancient town of the Samnite people in south-central Italy, later developed into a Roman municipium whose ruins are still visible today.
  • B. Caprile
    Caprile is a surname associated with the architectural firm Lohan Caprile Goettsch Architects.
  • C. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • D. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • E. Tithorea
    Tithorea was an important ancient city of Phocis in central Greece, known for its strategic location near Mount Parnassus and its role in regional conflicts.
  • 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_69a889144f2481909932f0746a93023d completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb914a40081909a937689bea3dc85 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0b00d0a48190bcd1924df2786e41 completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b8cda248190b88b353c1768c3d7 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c330bcc8190a7f62f0f1f3f04a0 completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:38 p.m.