Triple

T16423087
Position Surface form Disambiguated ID Type / Status
Subject Old Muscat E398867 entity
Predicate hasPart P35 FINISHED
Object Al Mirani Fort E99694 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: Al Mirani Fort | Statement: [Old Muscat, hasPart, Al Mirani Fort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Mirani Fort
Context triple: [Old Muscat, hasPart, Al Mirani Fort]
  • A. Al Mirani Fort chosen
    Al Mirani Fort is a historic coastal fortress in Muscat, Oman, overlooking the harbor and Old Muscat and dating back to the Portuguese colonial era.
  • B. Muttrah Fort
    Muttrah Fort is a historic coastal fortress in Muscat, Oman, overlooking Muttrah Corniche and the harbor, known for its strategic views and restored watchtowers.
  • C. Al Jalali Fort
    Al Jalali Fort is a historic coastal fortress in Muscat, Oman, built by the Portuguese in the 16th century and now a prominent symbol of the city's heritage.
  • D. Dhayah Fort
    Dhayah Fort is a historic hilltop fortress in the emirate of Ras Al Khaimah in the United Arab Emirates, known for its strategic views and role in the region’s 19th-century conflicts.
  • E. Ershawan Fort
    Ershawan Fort is a historic coastal military fortification in Keelung, Taiwan, built to defend the harbor and surrounding region.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f911b88190b19de52a1f700af8 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:09 a.m.