Triple

T38404255
Position Surface form Disambiguated ID Type / Status
Subject Spanish Oaks Reservoir E900979 entity
Predicate hasOperator P179 FINISHED
Object City of Spanish Fork
The City of Spanish Fork is a municipal government in Utah that oversees local services, infrastructure, and recreational facilities for the community of Spanish Fork.
 E2269696 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: City of Spanish Fork | Statement: [Spanish Oaks Reservoir, hasOperator, City of Spanish Fork]
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: City of Spanish Fork
Triple: [Spanish Oaks Reservoir, hasOperator, City of Spanish Fork]
Generated description
The City of Spanish Fork is a municipal government in Utah that oversees local services, infrastructure, and recreational facilities for the community of Spanish Fork.

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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fccd5d27b48190aad0e9aba88a48d7 completed May 7, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c281da148190bc3d12f6df45109e completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3a2ac4881908f8e4a244222b01d completed June 29, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a41c412c07c8190b7c2234a6dbd88b4 completed June 29, 2026, 1:02 a.m.
Created at: May 3, 2026, 4:31 p.m.