Triple

T22216676
Position Surface form Disambiguated ID Type / Status
Subject Upper American River Project E549090 entity
Predicate hasPart P35 FINISHED
Object Ice House Dam
Ice House Dam is a concrete gravity dam on the South Fork American River in California that forms Ice House Reservoir as part of the Upper American River hydroelectric system.
E1866765 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: Ice House Dam | Statement: [Upper American River Project, hasPart, Ice House Dam]
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: Ice House Dam
Triple: [Upper American River Project, hasPart, Ice House Dam]
Generated description
Ice House Dam is a concrete gravity dam on the South Fork American River in California that forms Ice House Reservoir as part of the Upper American River hydroelectric system.

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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8c9d488190a59f571862997304 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25d8e94ec88190b507672221ebd688 completed June 7, 2026, 8:47 p.m.
NEDg Description generation batch_6a25dd6cf59c8190a133dd2b6c674860 completed June 7, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a25e187fdec819097a53d52d903c601 completed June 7, 2026, 9:24 p.m.
Created at: April 16, 2026, 8:37 p.m.