Triple

T4799547
Position Surface form Disambiguated ID Type / Status
Subject Roman Syria E106798 entity
Predicate majorCity P316 FINISHED
Object Palmyra E76931 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: Palmyra | Statement: [Roman Syria, majorCity, Palmyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmyra
Context triple: [Roman Syria, majorCity, Palmyra]
  • A. Volubilis
    Volubilis was a prominent ancient Roman city in present-day Morocco, renowned for its well-preserved ruins and role as a major administrative and economic center in North Africa.
  • B. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • C. Hierapolis
    Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
  • D. Palmyrene region chosen
    The Palmyrene region is a historical area in central Syria centered around the ancient oasis city of Palmyra, known for its strategic location on caravan trade routes and its rich archaeological heritage.
  • E. Edessa
    Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd663512d0819099064903613108d9 completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43fc9e448190b9bfd2ff59ab4146 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.