Triple

T11882413
Position Surface form Disambiguated ID Type / Status
Subject Persian court E282690 entity
Predicate location P40 FINISHED
Object Persepolis E83624 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: [Persian court, location, Persepolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persepolis
Context triple: [Persian court, location, Persepolis]
  • A. Persepolis chosen
    Persepolis was the ceremonial heart of the ancient Achaemenid Persian Empire, renowned for its monumental palaces, grand staircases, and intricate reliefs.
  • B. Persepolis
    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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d39d2934819093b9f7006f45e5cb completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.