Triple

T28402378
Position Surface form Disambiguated ID Type / Status
Subject Neolithic period E719423 entity
Predicate hasNotableCulture P3114 FINISHED
Object Yangshao culture
Yangshao culture was a major Neolithic civilization in northern China known for its painted pottery, early agriculture, and village-based settlements along the Yellow River.
 E1815956 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: Yangshao culture | Statement: [Neolithic period, hasNotableCulture, Yangshao culture]
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: Yangshao culture
Triple: [Neolithic period, hasNotableCulture, Yangshao culture]
Generated description
Yangshao culture was a major Neolithic civilization in northern China known for its painted pottery, early agriculture, and village-based settlements along the Yellow River.

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_69eff6efd1b08190ae3cefd4f11388a2 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64d6d0b908190a272f7e51d6be67c completed May 2, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16331010908190a8cb889688bb9e88 completed May 26, 2026, 11:56 p.m.
NEDg Description generation batch_6a1633b3404c81909756786e737b28a6 completed May 26, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_6a1634fc4e648190932ce497c76e05d1 completed May 27, 2026, 12:04 a.m.
Created at: April 28, 2026, 1:21 a.m.