Triple

T3481912
Position Surface form Disambiguated ID Type / Status
Subject Temple of Derr E73510 entity
Predicate relocatedTo P1660 FINISHED
Object New Amada site E77561 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: New Amada site | Statement: [Temple of Derr, relocatedTo, New Amada site]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Amada site
Context triple: [Temple of Derr, relocatedTo, New Amada site]
  • A. New Amada site chosen
    The New Amada site is the modern location in Egypt where the ancient Temple of Amada was reassembled to protect it from flooding caused by the Aswan High Dam.
  • B. Sasang Industrial Complex
    Sasang Industrial Complex is a major manufacturing and logistics hub in Busan, South Korea, housing a dense concentration of factories and industrial facilities.
  • C. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • D. Onsan National Industrial Complex
    Onsan National Industrial Complex is a major South Korean industrial zone in Ulsan known for its large-scale petrochemical, metal, and heavy manufacturing facilities.
  • E. Bompai industrial estate
    Bompai industrial estate is a major industrial hub in Kano, Nigeria, hosting numerous manufacturing and commercial enterprises.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.