Triple

T4678973
Position Surface form Disambiguated ID Type / Status
Subject Hernici E103750 entity
Predicate hadSettlement P16159 FINISHED
Object Ferentinum
Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
 E462066 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: Ferentinum | Statement: [Hernici, hadSettlement, Ferentinum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferentinum
Context triple: [Hernici, hadSettlement, Ferentinum]
  • A. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • B. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • C. Praeneste
    Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
  • D. 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.
  • E. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • 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: Ferentinum
Triple: [Hernici, hadSettlement, Ferentinum]
Generated description
Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferentinum
Target entity description: Ferentinum was an ancient town in central Italy historically associated with the Hernici people and later integrated into the Roman sphere.
  • A. Arpinum
    Arpinum is an ancient Italian town in Latium best known as the birthplace of the Roman statesman and orator Cicero.
  • B. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • C. Praeneste
    Praeneste was an ancient Italian city in Latium, famed for its monumental sanctuary of Fortuna Primigenia and its strategic position overlooking the Roman Campagna.
  • D. 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.
  • E. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a497ac8190bd278a4bd531aa45 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be050e0f488190804c512e7cc17c56 completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05a6bed081909c8d8830fb103610 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:16 p.m.