Triple

T6045416
Position Surface form Disambiguated ID Type / Status
Subject Orhan Gazi E134653 entity
Predicate regionRuled P15936 FINISHED
Object Mysia
Mysia was an ancient region in northwestern Anatolia, in what is now Turkey, known for its strategic location near the Sea of Marmara and the Hellespont.
E174451 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: Mysia | Statement: [Orhan Gazi, regionRuled, Mysia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mysia
Context triple: [Orhan Gazi, regionRuled, Mysia]
  • A. Mysia
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • B. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • C. Argithea
    Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
  • D. Megalesia
    Megalesia was an ancient Roman religious festival featuring games and theatrical performances in honor of the goddess Cybele.
  • E. Aegae
    Aegae was the ancient royal city of Macedon and the original seat of the Argead dynasty, known for its palace complex and royal tombs.
  • 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: Mysia
Triple: [Orhan Gazi, regionRuled, Mysia]
Generated description
Mysia was an ancient region in northwestern Anatolia, in what is now Turkey, known for its strategic location near the Sea of Marmara and the Hellespont.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mysia
Target entity description: Mysia was an ancient region in northwestern Anatolia, in what is now Turkey, known for its strategic location near the Sea of Marmara and the Hellespont.
  • A. Mysia chosen
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • B. Maroneia
    Maroneia is an ancient Greek city in Thrace, near the northern Aegean coast, known historically for its wine production and strategic harbor.
  • C. Argithea
    Argithea is a municipality in the mountainous region of Thessaly in central Greece, known for its traditional villages and natural landscapes.
  • D. Megalesia
    Megalesia was an ancient Roman religious festival featuring games and theatrical performances in honor of the goddess Cybele.
  • E. Aegae
    Aegae was the ancient royal city of Macedon and the original seat of the Argead dynasty, known for its palace complex and royal tombs.
  • F. None of above.

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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e41f98819089c205ba6138faf0 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139f53d881908f2aa8211fc7539f completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c1153b6ce8819090a13d349ccd2d6c completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115acfe748190b91c88df81c2e1c2 completed March 23, 2026, 10:27 a.m.
Created at: March 22, 2026, 4:09 p.m.