Triple

T8860298
Position Surface form Disambiguated ID Type / Status
Subject Dacia Ripensis E210868 entity
Predicate hadFort P3479 FINISHED
Object Bononia
Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
 E762123 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: Bononia | Statement: [Dacia Ripensis, hadFort, Bononia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bononia
Context triple: [Dacia Ripensis, hadFort, Bononia]
  • A. Bononia
    Bononia is the ancient Roman name for the city of Bologna in northern Italy, an important urban and commercial center in the Emilia-Romagna region.
  • B. Loché
    Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • C. Provenza
    "Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
  • D. Ronchin
    Ronchin is a commune in northern France that forms part of the suburban area of Lille within the Hauts-de-France region.
  • E. Burdigala
    Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
  • 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: Bononia
Triple: [Dacia Ripensis, hadFort, Bononia]
Generated description
Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bononia
Target entity description: Bononia was an important Roman fortress and settlement along the Danube frontier in the province of Dacia Ripensis.
  • A. Bononia
    Bononia is the ancient Roman name for the city of Bologna in northern Italy, an important urban and commercial center in the Emilia-Romagna region.
  • B. Loché
    Loché is a small wine-producing village in the Mâconnais region of Burgundy, France, known for its Chardonnay-based white wines.
  • C. Provenza
    "Provenza" is a hit reggaeton song by Colombian singer Karol G known for its tropical sound and themes of empowerment and romantic liberation.
  • D. Ronchin
    Ronchin is a commune in northern France that forms part of the suburban area of Lille within the Hauts-de-France region.
  • E. Burdigala
    Burdigala was the ancient Roman-era city in Gaul that later became modern-day Bordeaux, an important commercial and cultural center.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e712d08190bfb1c4ba3acaea90 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0b94f5481909902b5fa405a502f completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa1714b4081909035c9b15c82c1be completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa24be80481909e2b575f99cd1dc4 completed April 3, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:50 p.m.