Triple

T29593214
Position Surface form Disambiguated ID Type / Status
Subject Tuyên Quang Province E754223 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Sơn Dương District
Sơn Dương District is a rural administrative district in northern Vietnam, located within Tuyên Quang Province and known for its agricultural economy and historical revolutionary sites.
E1980006 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: Sơn Dương District | Statement: [Tuyên Quang Province, hasAdministrativeDivision, Sơn Dương District]
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: Sơn Dương District
Triple: [Tuyên Quang Province, hasAdministrativeDivision, Sơn Dương District]
Generated description
Sơn Dương District is a rural administrative district in northern Vietnam, located within Tuyên Quang Province and known for its agricultural economy and historical revolutionary sites.

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_69f0ef836ac88190bd809dc58b5ec907 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f66db5b6fc81908d5b3bdbb085a93d completed May 2, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2e6573f7fc8190b1274f68330ba9fe completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e683bd288819086bf1c1fcb5f0a14 completed June 14, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_6a2e68b5da1c8190ade01a2db920bf90 completed June 14, 2026, 8:39 a.m.
Created at: April 28, 2026, 6:16 p.m.