Triple

T16451881
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Terventum
Terventum was an ancient town in the Roman region of Samnium, located in south-central Italy.
 E1213977 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: Terventum | Statement: [Regio IV Samnium, contains, Terventum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terventum
Context triple: [Regio IV Samnium, contains, Terventum]
  • A. Tervate
    Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
  • B. Tertulla
    Tertulla was a Roman noblewoman of the late Republic, best known as the wife of the powerful general and politician Marcus Licinius Crassus.
  • C. Tetnuldi
    Tetnuldi is a prominent peak in the central Caucasus Mountains of Georgia, known for its glaciated slopes and popular ski resort.
  • D. Tervingi
    The Tervingi were a major branch of the Goths, a Germanic people who lived north of the Danube and played a central role in late Roman frontier conflicts and migrations.
  • E. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • 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: Terventum
Triple: [Regio IV Samnium, contains, Terventum]
Generated description
Terventum was an ancient town in the Roman region of Samnium, located in south-central Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terventum
Target entity description: Terventum was an ancient town in the Roman region of Samnium, located in south-central Italy.
  • A. Tervate
    Tervate is a small locality in Belgium situated close to the historic Yser Front of World War I.
  • B. Tertulla
    Tertulla was a Roman noblewoman of the late Republic, best known as the wife of the powerful general and politician Marcus Licinius Crassus.
  • C. Tetnuldi
    Tetnuldi is a prominent peak in the central Caucasus Mountains of Georgia, known for its glaciated slopes and popular ski resort.
  • D. Tervingi
    The Tervingi were a major branch of the Goths, a Germanic people who lived north of the Danube and played a central role in late Roman frontier conflicts and migrations.
  • E. Salamansa
    Salamansa is a coastal village on the island of São Vicente in Cape Verde, known for its fishing community and sandy beach.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ce19344819083d323077b742bc3 completed April 18, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045979c588190b6f7b249147f3174 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:10 a.m.