Triple

T11886168
Position Surface form Disambiguated ID Type / Status
Subject Forum of Nerva E282785 entity
Predicate builtOver P2012 FINISHED
Object 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.
 E950766 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: Argiletum | Statement: [Forum of Nerva, builtOver, Argiletum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argiletum
Context triple: [Forum of Nerva, builtOver, Argiletum]
  • A. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • B. Glanum
    Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
  • C. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • D. Cavillonum
    Cavillonum is the ancient Roman-era name for the town now known as Chalon-sur-Saône in eastern France.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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: Argiletum
Triple: [Forum of Nerva, builtOver, Argiletum]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argiletum
Target entity description: 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.
  • A. Lauriacum
    Lauriacum was a major Roman military and administrative center in the province of Noricum, located near the Danube in what is now Austria.
  • B. Glanum
    Glanum is an ancient Greco-Roman city in southern France known for its well-preserved ruins and monumental architecture.
  • C. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • D. Cavillonum
    Cavillonum is the ancient Roman-era name for the town now known as Chalon-sur-Saône in eastern France.
  • E. Clusium
    Clusium was an important ancient Etruscan city, known for its strategic location in central Italy and its significant role in early Roman history.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a13370819086386fecb99e4f0b completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281fc9660819081fc2fd1f44440d8 completed April 29, 2026, 10:11 p.m.
NEDg Description generation batch_69f28a9378348190866e38259cc9467e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c5f7638819098aa93aa1610ca0a completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:44 p.m.