Triple

T33624378
Position Surface form Disambiguated ID Type / Status
Subject Creede, Colorado E861360 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Creede Historic District
Creede Historic District is a preserved area in the former silver-mining town of Creede, Colorado, recognized for its well-maintained 19th-century architecture and mining-era heritage.
E909832 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: Creede Historic District | Statement: [Creede, Colorado, hasHistoricDistrict, Creede Historic 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: Creede Historic District
Triple: [Creede, Colorado, hasHistoricDistrict, Creede Historic District]
Generated description
Creede Historic District is a preserved area in the former silver-mining town of Creede, Colorado, recognized for its well-maintained 19th-century architecture and mining-era heritage.

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_69f34980fabc81909819228729a9ca84 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f822a0248190bf85849636eaff6d completed May 3, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3611a9d44c8190818fd5ed7da23906 completed June 20, 2026, 4:06 a.m.
NEDg Description generation batch_6a3612369868819086e4e921e71c7cf2 completed June 20, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3612ab7a9881908f101e458ea29c56 completed June 20, 2026, 4:10 a.m.
Created at: May 1, 2026, 1:41 a.m.