Triple

T15777169
Position Surface form Disambiguated ID Type / Status
Subject Palace of the Shirvanshahs E382519 entity
Predicate locatedIn P40 FINISHED
Object Icherisheher E384412 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: Icherisheher | Statement: [Palace of the Shirvanshahs, locatedIn, Icherisheher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Icherisheher
Context triple: [Palace of the Shirvanshahs, locatedIn, Icherisheher]
  • A. Icherisheher chosen
    Icherisheher is the historic walled old town of Baku, Azerbaijan, known for its medieval architecture and UNESCO World Heritage status.
  • B. Sarakhs
    Sarakhs is a historic border city in northeastern Iran, known for its strategic location along ancient trade routes between Iran and Central Asia.
  • C. Bakhchisaray
    Bakhchisaray is a historic town in Crimea known for its former role as the capital of the Crimean Khanate and its notable architectural and cultural heritage.
  • D. Urgench
    Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
  • E. Buynaksk
    Buynaksk is a significant urban center in the Republic of Dagestan in southern Russia, known for its strategic location in the North Caucasus 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff909b467c819097ee87f51d2001da completed May 9, 2026, 7:52 p.m.
Created at: April 10, 2026, 4:47 a.m.