Triple

T13753493
Position Surface form Disambiguated ID Type / Status
Subject Lycian League E330414 entity
Predicate hasMember P10 FINISHED
Object Sidyma
Sidyma was an ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and membership in the Lycian League.
E1059171 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: Sidyma | Statement: [Lycian League, hasMember, Sidyma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidyma
Context triple: [Lycian League, hasMember, Sidyma]
  • A. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • B. Syoma
    Syoma is a Russian diminutive form of the male given name Semyon, commonly used as an affectionate nickname.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Sidyma
Triple: [Lycian League, hasMember, Sidyma]
Generated description
Sidyma was an ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and membership in the Lycian League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sidyma
Target entity description: Sidyma was an ancient Lycian city in southwestern Anatolia, known for its rock-cut tombs and membership in the Lycian League.
  • A. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • B. Syoma
    Syoma is a Russian diminutive form of the male given name Semyon, commonly used as an affectionate nickname.
  • C. Taghmon
    Taghmon is a village in County Wexford, Ireland, known for its historic ecclesiastical roots and rural community character.
  • D. Sikma
    Sikma is a surname most notably associated with Jack Sikma, a Hall of Fame American basketball player known for his successful NBA career with the Seattle SuperSonics.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a85813e88190a63fecf8b0675df6 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a968c3508190b1a86accb71b34cf completed May 3, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f7aa32b8c8819088bbc9e478c21c06 completed May 3, 2026, 8:04 p.m.
Created at: April 9, 2026, 10:09 p.m.