Triple

T16451900
Position Surface form Disambiguated ID Type / Status
Subject Regio IV Samnium E399571 entity
Predicate contains P35 FINISHED
Object Aeclanum
Aeclanum was an ancient Samnite and later Roman town in southern Italy, notable as a strategic settlement along the Via Appia.
E1213989 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: Aeclanum | Statement: [Regio IV Samnium, contains, Aeclanum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aeclanum
Context triple: [Regio IV Samnium, contains, Aeclanum]
  • A. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • C. Argiletum
    Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
  • D. Mamucium
    Mamucium was a Roman fort and settlement that formed the early foundation of what is now the city of Manchester in northwest England.
  • E. Noviodunum
    Noviodunum was an important Roman military and naval base on the lower Danube, in the province of Moesia (modern-day Romania).
  • 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: Aeclanum
Triple: [Regio IV Samnium, contains, Aeclanum]
Generated description
Aeclanum was an ancient Samnite and later Roman town in southern Italy, notable as a strategic settlement along the Via Appia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aeclanum
Target entity description: Aeclanum was an ancient Samnite and later Roman town in southern Italy, notable as a strategic settlement along the Via Appia.
  • A. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • B. Teanum Sidicinum
    Teanum Sidicinum was an important ancient city in Campania, Italy, serving as the chief urban center of the Sidicini people and later becoming a notable Roman municipality.
  • C. Argiletum
    Argiletum was an ancient street in Rome that connected the Roman Forum to the Subura district and later became partly occupied by the Forum of Nerva.
  • D. Mamucium
    Mamucium was a Roman fort and settlement that formed the early foundation of what is now the city of Manchester in northwest England.
  • E. Noviodunum
    Noviodunum was an important Roman military and naval base on the lower Danube, in the province of Moesia (modern-day Romania).
  • 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.