Triple

T18103734
Position Surface form Disambiguated ID Type / Status
Subject Orlovika E433293 entity
Predicate location P40 FINISHED
Object Morea
Morea is a historical region of the Peloponnese in southern Greece, known especially for its role in medieval and early modern Greek history.
E37090 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: Morea | Statement: [Orlovika, location, Morea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morea
Context triple: [Orlovika, location, Morea]
  • A. Morea
    Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
  • B. Capurso
    Capurso is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • E. Populonia
    Populonia was an important ancient coastal city of Etruria, known for its maritime trade, metalworking, and strategic position on the Tyrrhenian Sea.
  • 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: Morea
Triple: [Orlovika, location, Morea]
Generated description
Morea is a historical region of the Peloponnese in southern Greece, known especially for its role in medieval and early modern Greek history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morea
Target entity description: Morea is a historical region of the Peloponnese in southern Greece, known especially for its role in medieval and early modern Greek history.
  • A. Morea chosen
    Morea was the medieval name for the Peloponnese peninsula in southern Greece, which served as a significant Byzantine province and later despotate.
  • B. Capurso
    Capurso is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • C. Fabrezan
    Fabrezan is a small commune in the Aude department of southern France, known for its wine production and picturesque location in the Corbières region.
  • D. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • E. Populonia
    Populonia was an important ancient coastal city of Etruria, known for its maritime trade, metalworking, and strategic position on the Tyrrhenian Sea.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb8dd308190a9c98ac2b1d8b872 completed April 19, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c34eb6c8190b70bcd15eec16f34 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037e03d37c819093ef34d1752f6c01 completed May 12, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a037f09a0b48190942cd8a6184a68fb completed May 12, 2026, 7:27 p.m.
Created at: April 10, 2026, 10:28 a.m.