Triple

T32385299
Position Surface form Disambiguated ID Type / Status
Subject Qin script E827530 entity
Predicate precededBy P97 FINISHED
Object Warring States scripts
Warring States scripts are a group of regionally diverse ancient Chinese writing styles used during the Warring States period before the unification of the script under the Qin dynasty.
E2004381 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: Warring States scripts | Statement: [Qin script, precededBy, Warring States scripts]
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: Warring States scripts
Triple: [Qin script, precededBy, Warring States scripts]
Generated description
Warring States scripts are a group of regionally diverse ancient Chinese writing styles used during the Warring States period before the unification of the script under the Qin dynasty.

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_69f349184e7481909c6c54428cb9cf12 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c1cf2aa081909f4c0b8f0cad1907 completed May 3, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a33e8beb13c81908b79503df5e55880 completed June 18, 2026, 12:46 p.m.
NEDg Description generation batch_6a33e9a331f481909e9f4352d2d52db6 completed June 18, 2026, 12:50 p.m.
NED2 Entity disambiguation (via description) batch_6a3440b2dae081909c86cb74dd48ff1c completed June 18, 2026, 7:02 p.m.
Created at: May 1, 2026, 12:51 a.m.