Triple

T32726150
Position Surface form Disambiguated ID Type / Status
Subject 鄂豫皖苏区首府旧址 E836807 entity
Predicate locatedIn P40 FINISHED
Object 黄冈市红安县
黄冈市红安县是湖北省东北部的一个县级行政区,以其在鄂豫皖革命根据地时期的重要地位和丰富的红色历史文化资源而闻名。
E2020230 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: 黄冈市红安县 | Statement: [鄂豫皖苏区首府旧址, locatedIn, 黄冈市红安县]
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: 黄冈市红安县
Triple: [鄂豫皖苏区首府旧址, locatedIn, 黄冈市红安县]
Generated description
黄冈市红安县是湖北省东北部的一个县级行政区,以其在鄂豫皖革命根据地时期的重要地位和丰富的红色历史文化资源而闻名。

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_69f34935455881909088975d79460418 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c8b80b508190b03c5a5859c695fe completed May 3, 2026, 4:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a349ed8d4408190acb580b634ed055c completed June 19, 2026, 1:43 a.m.
NEDg Description generation batch_6a349f9787f8819080cd588dfeb2f8a7 completed June 19, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a34a066b2808190acb2c406f93760d7 completed June 19, 2026, 1:50 a.m.
Created at: May 1, 2026, 1:11 a.m.