Triple

T35356683
Position Surface form Disambiguated ID Type / Status
Subject Llano, Texas E1021350 entity
Predicate hasHistoricDistrict P295 FINISHED
Object downtown Llano historic area
The downtown Llano historic area is a preserved central district in Llano, Texas, known for its late 19th- and early 20th-century architecture, small-town streetscape, and ties to the region’s mining and ranching heritage.
E2136831 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: downtown Llano historic area | Statement: [Llano, Texas, hasHistoricDistrict, downtown Llano historic area]
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: downtown Llano historic area
Triple: [Llano, Texas, hasHistoricDistrict, downtown Llano historic area]
Generated description
The downtown Llano historic area is a preserved central district in Llano, Texas, known for its late 19th- and early 20th-century architecture, small-town streetscape, and ties to the region’s mining and ranching 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_69f76def44c881908a20e8008572eb44 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79199c5a88190a25e384916c091fc completed May 3, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3823d79eac8190a964bf51ecac722f completed June 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a38254665c88190b7dd9d0767aec8e9 completed June 21, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a38260b8ef08190b7ddb0b1bbd8c4d2 completed June 21, 2026, 5:57 p.m.
Created at: May 3, 2026, 4:03 p.m.