Triple

T4206059
Position Surface form Disambiguated ID Type / Status
Subject Susa E86185 entity
Predicate modernSettlementNearby P3883 FINISHED
Object Shush
Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
E419862 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: Shush | Statement: [Susa, modernSettlementNearby, Shush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shush
Context triple: [Susa, modernSettlementNearby, Shush]
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • C. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • D. Shushary
    Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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: Shush
Triple: [Susa, modernSettlementNearby, Shush]
Generated description
Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shush
Target entity description: Shush is a modern Iranian city that encompasses the archaeological remains of ancient Susa, one of the oldest and most important cities of the ancient Near East.
  • A. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • B. Ushu
    Ushu is a scenic mountainous village in Pakistan’s Swat Valley, known for its lush forests, rivers, and access to trekking and natural viewpoints.
  • C. Shagbat
    Shagbat is an informal nickname for the Supermarine Walrus, a British World War II-era amphibious reconnaissance and air-sea rescue aircraft.
  • D. Shushary
    Shushary is a municipal settlement in the southern part of Saint Petersburg, Russia, known for its residential areas and industrial facilities.
  • E. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03844314819092639ed7d6ef2c6e completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a1ae9708190ae0f520b402c7bb5 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58b89dd54819095a596fa0361a5db completed March 14, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69b58c18fa24819099f122b3a79d1065 completed March 14, 2026, 4:26 p.m.
Created at: March 9, 2026, 3:49 p.m.