Triple

T27800630
Position Surface form Disambiguated ID Type / Status
Subject Han Yangling Mausoleum E702230 entity
Predicate dynasty P1547 FINISHED
Object Western Han dynasty E1783520 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: Western Han dynasty | Statement: [Han Yangling Mausoleum, dynasty, Western Han dynasty]

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_69ef8408e0588190977cffa32dc33a29 completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f6383625cc8190aa223d8ef655743c completed May 2, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131131b7f081908ea697a32a4bfea9 completed May 24, 2026, 2:54 p.m.
Created at: April 27, 2026, 5:34 p.m.