Triple

T15945860
Position Surface form Disambiguated ID Type / Status
Subject Tatoi Palace E386680 entity
Predicate GreekName P3659 FINISHED
Object Τατόι
Τατόι είναι η ιστορική βασιλική έπαυλη και κτήμα βόρεια της Αθήνας, που υπήρξε θερινή κατοικία της ελληνικής βασιλικής οικογένειας.
 E1185276 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: Τατόι | Statement: [Tatoi Palace, GreekName, Τατόι]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Τατόι
Context triple: [Tatoi Palace, GreekName, Τατόι]
  • A. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • B. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • C. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • D. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Tatsumi
    Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
  • 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: Τατόι
Triple: [Tatoi Palace, GreekName, Τατόι]
Generated description
Τατόι είναι η ιστορική βασιλική έπαυλη και κτήμα βόρεια της Αθήνας, που υπήρξε θερινή κατοικία της ελληνικής βασιλικής οικογένειας.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Τατόι
Target entity description: Τατόι είναι η ιστορική βασιλική έπαυλη και κτήμα βόρεια της Αθήνας, που υπήρξε θερινή κατοικία της ελληνικής βασιλικής οικογένειας.
  • A. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • B. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • C. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • D. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Tatsumi
    Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.