Triple

T2637470
Position Surface form Disambiguated ID Type / Status
Subject Avidius Cassius E59780 entity
Predicate birthPlace P1 FINISHED
Object Cyrrhus
Cyrrhus was an ancient city in northern Syria, notable as a regional center in the Hellenistic and Roman periods.
 E283687 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: Cyrrhus | Statement: [Avidius Cassius, birthPlace, Cyrrhus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cyrrhus
Context triple: [Avidius Cassius, birthPlace, Cyrrhus]
  • A. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Anticyra
    Anticyra is an ancient Greek coastal town in the region of Phocis, historically noted for its harbor and its association with medicinal hellebore.
  • D. Cassope
    Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
  • E. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • 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: Cyrrhus
Triple: [Avidius Cassius, birthPlace, Cyrrhus]
Generated description
Cyrrhus was an ancient city in northern Syria, notable as a regional center in the Hellenistic and Roman periods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cyrrhus
Target entity description: Cyrrhus was an ancient city in northern Syria, notable as a regional center in the Hellenistic and Roman periods.
  • A. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Anticyra
    Anticyra is an ancient Greek coastal town in the region of Phocis, historically noted for its harbor and its association with medicinal hellebore.
  • D. Cassope
    Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
  • E. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e3190081908ea828fe79569cc9 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b3e9b48190857ae21022a4fb15 completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af922043508190a9a9ceced2425109 completed March 10, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69af927bb1d0819081ab11eb4470e28d completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:50 p.m.