Triple

T2030363
Position Surface form Disambiguated ID Type / Status
Subject Sabines E44501 entity
Predicate majorSettlement P316 FINISHED
Object Amiternum
Amiternum was an ancient Italic town in central Italy, historically associated with the Sabine people and later integrated into the Roman world.
E225366 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: Amiternum | Statement: [Sabines, majorSettlement, Amiternum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amiternum
Context triple: [Sabines, majorSettlement, Amiternum]
  • A. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • B. Pesotum
    Pesotum is a genus of fungi in the family Ophiostomataceae, known for species often associated with wood and bark beetles and implicated in plant diseases.
  • C. Tauresium
    Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • 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: Amiternum
Triple: [Sabines, majorSettlement, Amiternum]
Generated description
Amiternum was an ancient Italic town in central Italy, historically associated with the Sabine people and later integrated into the Roman world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amiternum
Target entity description: Amiternum was an ancient Italic town in central Italy, historically associated with the Sabine people and later integrated into the Roman world.
  • A. Talagante
    Talagante is a commune and town in central Chile, located southwest of Santiago within the Santiago Metropolitan Region.
  • B. Pesotum
    Pesotum is a genus of fungi in the family Ophiostomataceae, known for species often associated with wood and bark beetles and implicated in plant diseases.
  • C. Tauresium
    Tauresium was an ancient settlement in the Balkans, traditionally identified as the birthplace of the Byzantine emperor Justinian I.
  • D. Brocken
    Brocken is a prominent mountain in central Germany’s Harz range, known for its harsh climate, folklore, and role in literature and cultural history.
  • E. Hoche
    Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
  • 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.