Triple

T6313631
Position Surface form Disambiguated ID Type / Status
Subject Khanbaliq E141562 entity
Predicate hasAlternativeName P39 FINISHED
Object Cambalucum E583824 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: Cambalucum | Statement: [Khanbaliq, hasAlternativeName, Cambalucum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambalucum
Context triple: [Khanbaliq, hasAlternativeName, Cambalucum]
  • A. Cambaluc chosen
    Cambaluc is the historical name, used especially by medieval Europeans, for Khanbaliq, the capital city of the Yuan dynasty located on the site of present-day Beijing.
  • B. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • C. Jincamocco
    Jincamocco is an important archaeological site associated with the Wari Empire, reflecting the political and cultural influence of this pre-Inca Andean civilization.
  • D. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • E. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a075dc8190acf7ec010cb4b00c completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6040337908190a10f7cd9c1264267 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:28 p.m.