Triple

T16773754
Position Surface form Disambiguated ID Type / Status
Subject Hadish Palace E407669 entity
Predicate locatedNear P294 FINISHED
Object Tachara Palace E411803 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: Tachara Palace | Statement: [Hadish Palace, locatedNear, Tachara Palace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachara Palace
Context triple: [Hadish Palace, locatedNear, Tachara Palace]
  • A. Tachara Palace chosen
    Tachara Palace is an ancient Achaemenid royal residence at Persepolis, notable for its finely carved stone reliefs and well-preserved architecture attributed to Darius the Great.
  • B. Haga Palace
    Haga Palace is a historic royal residence in Sweden, located within Haga Park just north of central Stockholm.
  • C. Shene Palace
    Shene Palace was a former royal residence on the River Thames in Surrey that served as an important medieval and early Tudor palace before being replaced by Richmond Palace.
  • D. Kanakakkunnu Palace
    Kanakakkunnu Palace is a historic royal mansion and cultural venue in Thiruvananthapuram, Kerala, known for its traditional architecture and hosting festivals and public events.
  • E. Pankot Palace
    Pankot Palace is a fictional royal fortress and cult stronghold featured in the film "Indiana Jones and the Temple of Doom."
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b037c5708190ba604e7707b5a8a2 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28592c08190855a7fa5b0a350f5 completed May 10, 2026, 4:29 p.m.
Created at: April 10, 2026, 5:21 a.m.