Triple

T10358560
Position Surface form Disambiguated ID Type / Status
Subject Persepolis Tehran E244067 entity
Predicate alsoKnownAs P39 FINISHED
Object Persepolis E706489 NE FINISHED

How this triple was built (2 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: Persepolis | Statement: [Persepolis Tehran, alsoKnownAs, Persepolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persepolis
Context triple: [Persepolis Tehran, alsoKnownAs, Persepolis]
  • A. Persepolis
    Persepolis was the ceremonial heart of the ancient Achaemenid Persian Empire, renowned for its monumental palaces, grand staircases, and intricate reliefs.
  • B. Persepolis chosen
    Persepolis is one of Iran’s most successful and popular football clubs, based in Tehran and renowned for its passionate fanbase and numerous domestic titles.
  • C. The Persian Sage
    The Persian Sage is the honorific title of Aphrahat, a 4th-century Syriac Christian writer known for his influential theological and ascetic homilies.
  • D. Sublime State of Persia
    The Sublime State of Persia was the official name of Iran during the Qajar dynasty, a centralized monarchy that ruled from the late 18th to the early 20th century before modern reforms and state rebranding.
  • E. Tod in Persien
    "Tod in Persien" is a 1936 autobiographical travelogue by Swiss writer and photographer Annemarie Schwarzenbach, reflecting her journey through Iran and her inner struggles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e95708c481909c8c8cb2a57bf6d6 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b02ae48190898f9f97ab19ce60 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:59 a.m.