Triple

T28793776
Position Surface form Disambiguated ID Type / Status
Subject Confluentes E727029 entity
Predicate nearRomanFort P165592 FINISHED
Object Castellum apud Confluentes
Castellum apud Confluentes was a Roman military fortification located near the ancient settlement of Confluentes (modern Koblenz) at the confluence of the Rhine and Moselle rivers.
 E1834095 NE FINISHED

How this triple was built (3 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: Castellum apud Confluentes | Statement: [Confluentes, nearRomanFort, Castellum apud Confluentes]
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: Castellum apud Confluentes
Triple: [Confluentes, nearRomanFort, Castellum apud Confluentes]
Generated description
Castellum apud Confluentes was a Roman military fortification located near the ancient settlement of Confluentes (modern Koblenz) at the confluence of the Rhine and Moselle rivers.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nearRomanFort
Context triple: [Confluentes, nearRomanFort, Castellum apud Confluentes]
  • A. wasRomanFort
    Indicates that the subject functioned as a Roman military fort at some point in time.
  • B. nearbyRomanTown
    Indicates that one location is geographically close to a town that existed during the Roman period.
  • C. wasRomanSettlementName
    Indicates that the subject was the name used for a settlement during the Roman period.
  • D. wasRomanTown
    Indicates that the subject entity functioned as a town or urban settlement during the period of the Roman Empire.
  • E. mainRomanSanctuary
    Indicates that one entity serves as the primary Roman religious sanctuary or temple associated with another entity.
  • F. None of above. chosen

Provenance (7 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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6596b210481908af6cd555748f75b completed May 2, 2026, 8:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a2758f6881908880b5599a4bbb4f completed June 6, 2026, 10:43 p.m.
NEDg Description generation batch_6a24a6d6827081909a955a9e55ff5961 completed June 6, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_6a24aae32fe48190b97460a47a102c47 completed June 6, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69f65760fd3081908ffe014a5e2bf069 completed May 2, 2026, 7:58 p.m.
PDg Predicate description generation batch_69f658ebeca4819096beb3f98f73fe31 completed May 2, 2026, 8:05 p.m.
Created at: April 28, 2026, 6:24 a.m.