Triple

T34277970
Position Surface form Disambiguated ID Type / Status
Subject Wusi Dajie E879514 entity
Predicate nameMeaning P453 FINISHED
Object May Fourth Street
May Fourth Street is a Chinese roadway whose name commemorates the May Fourth Movement, a pivotal 1919 student-led protest and cultural reform movement in modern Chinese history.
 E2096033 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: May Fourth Street | Statement: [Wusi Dajie, nameMeaning, May Fourth Street]
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: May Fourth Street
Triple: [Wusi Dajie, nameMeaning, May Fourth Street]
Generated description
May Fourth Street is a Chinese roadway whose name commemorates the May Fourth Movement, a pivotal 1919 student-led protest and cultural reform movement in modern Chinese history.

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_69f349b5f6648190b9420d94a4cd16e0 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712ec33088190b4e1c5fa63d07db0 completed May 3, 2026, 9:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37181a265c8190b26470f607405593 completed June 20, 2026, 10:45 p.m.
NEDg Description generation batch_6a3718985be081909ffb2a747b029ef3 completed June 20, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_6a3718f9adc88190982935dcb7c55869 completed June 20, 2026, 10:49 p.m.
Created at: May 1, 2026, 1:57 a.m.