Triple

T35060657
Position Surface form Disambiguated ID Type / Status
Subject King of Kadesh E1011581 entity
Predicate country P26 FINISHED
Object Kadesh E384301 NE FINISHED

How this triple was built (1 step)

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: Kadesh | Statement: [King of Kadesh, country, Kadesh]

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_69f76dd09c308190a523454853ce842b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7860a1154819088c0faac06bc3852 completed May 3, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37cfe37a808190ae7843090f30430d completed June 21, 2026, 11:49 a.m.
Created at: May 3, 2026, 4:01 p.m.