Triple

T28481737
Position Surface form Disambiguated ID Type / Status
Subject State of Zhongshan E720710 entity
Predicate archaeologicalSite P1098 FINISHED
Object Pingshan Zhongshan royal tombs
Pingshan Zhongshan royal tombs are an important archaeological complex in Hebei, China, containing the lavish burials of rulers from the ancient State of Zhongshan during the Warring States period.
E1837543 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: Pingshan Zhongshan royal tombs | Statement: [State of Zhongshan, archaeologicalSite, Pingshan Zhongshan royal tombs]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pingshan Zhongshan royal tombs
Triple: [State of Zhongshan, archaeologicalSite, Pingshan Zhongshan royal tombs]
Generated description
Pingshan Zhongshan royal tombs are an important archaeological complex in Hebei, China, containing the lavish burials of rulers from the ancient State of Zhongshan during the Warring States period.

Provenance (5 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_69f01a5983f48190b7c1b8857245a4f7 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f0bcb888190b3d85cf81c0d36cf completed May 2, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bb7fe9b08190b372914781ff7c92 completed June 7, 2026, 12:29 a.m.
NEDg Description generation batch_6a24bf95145c81908c8b06ac4c17c086 completed June 7, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_6a24c40832a881908ca8c2d0b09b1458 completed June 7, 2026, 1:06 a.m.
Created at: April 28, 2026, 2:55 a.m.