Triple

T23124142
Position Surface form Disambiguated ID Type / Status
Subject Temple of the Oracle of Amun E576978 entity
Predicate nearSettlement P3883 FINISHED
Object Siwa NE NERFINISHED

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: Siwa | Statement: [Temple of the Oracle of Amun, nearSettlement, Siwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siwa
Context triple: [Temple of the Oracle of Amun, nearSettlement, Siwa]
  • A. Siwa Oasis chosen
    Siwa Oasis is a remote, historically rich oasis in Egypt near the Libyan border, famed for its ancient Oracle of Amun, distinctive Berber culture, and dramatic desert landscapes.
  • B. Siwa Polana
    Siwa Polana is a scenic mountain meadow in Poland’s Tatra Mountains that serves as a popular access point for hiking routes into the Chochołowska Valley.
  • C. Merowe
    Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
  • D. Matrah
    Matrah is a historic coastal town in Oman that served as a key trading port and commercial hub during the height of Omani maritime power.
  • E. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e5299c08190a578102cf2ff7080 completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.