Triple

T9449063
Position Surface form Disambiguated ID Type / Status
Subject Mauretania Caesariensis E227838 entity
Predicate hadImportantCity P22141 FINISHED
Object Cartennae
Cartennae was an important ancient coastal city in the Roman province of Mauretania Caesariensis in North Africa.
 E799268 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: Cartennae | Statement: [Mauretania Caesariensis, hadImportantCity, Cartennae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cartennae
Context triple: [Mauretania Caesariensis, hadImportantCity, Cartennae]
  • A. Carnan
    Carnan is a small settlement on South Uist in Scotland’s Outer Hebrides.
  • B. Carnllundain
    Carnllundain is the prominent hill that forms the summit of Ramsey Island off the coast of Pembrokeshire, Wales.
  • C. Cillae
    Cillae was an ancient city located in the historical region of Mysia in northwestern Asia Minor (modern-day Turkey).
  • D. Trebanos
    Trebanos is a village in South Wales situated within the county borough of Neath Port Talbot.
  • E. Carentan
    Carentan is a small town in Normandy, France, known for its strategic role in the D-Day landings and subsequent World War II battles.
  • 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: Cartennae
Triple: [Mauretania Caesariensis, hadImportantCity, Cartennae]
Generated description
Cartennae was an important ancient coastal city in the Roman province of Mauretania Caesariensis in North Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cartennae
Target entity description: Cartennae was an important ancient coastal city in the Roman province of Mauretania Caesariensis in North Africa.
  • A. Carnan
    Carnan is a small settlement on South Uist in Scotland’s Outer Hebrides.
  • B. Carnllundain
    Carnllundain is the prominent hill that forms the summit of Ramsey Island off the coast of Pembrokeshire, Wales.
  • C. Cillae
    Cillae was an ancient city located in the historical region of Mysia in northwestern Asia Minor (modern-day Turkey).
  • D. Trebanos
    Trebanos is a village in South Wales situated within the county borough of Neath Port Talbot.
  • E. Carentan
    Carentan is a small town in Normandy, France, known for its strategic role in the D-Day landings and subsequent World War II battles.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f64fdc88190aec27793bfe62d77 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106f38448190bfdc289eb987e33f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d110eeddc881908661d110269b8a1c completed April 4, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d111f3190c8190ba2fe5687212da25 completed April 4, 2026, 1:28 p.m.
Created at: March 30, 2026, 7:51 p.m.