Triple

T24157008
Position Surface form Disambiguated ID Type / Status
Subject Buda, Texas E598710 entity
Predicate hasHistoricDistrict P295 FINISHED
Object Downtown Buda Historic District
Downtown Buda Historic District is a preserved central area of Buda, Texas, known for its historic commercial buildings, small-town character, and role as the community’s traditional downtown core.
E1619518 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 Buda Historic District | Statement: [Buda, Texas, hasHistoricDistrict, Downtown Buda 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: Downtown Buda Historic District
Triple: [Buda, Texas, hasHistoricDistrict, Downtown Buda Historic District]
Generated description
Downtown Buda Historic District is a preserved central area of Buda, Texas, known for its historic commercial buildings, small-town character, and role as the community’s traditional downtown core.

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_69e288cb0a3081909ef221744f274384 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e0e5bdb48190aa2d369942b85220 completed April 29, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad31c82c8190a563a9519aa529e8 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fadf2f84481908679ecd7ad23e326 completed May 22, 2026, 1:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0fae7c6ac081909638543160a0f89c completed May 22, 2026, 1:16 a.m.
Created at: April 17, 2026, 11:31 p.m.