Triple

T17368053
Position Surface form Disambiguated ID Type / Status
Subject Hills Creek Reservoir E422234 entity
Predicate nearbyWaterBody P1094 FINISHED
Object Lookout Point Lake
Lookout Point Lake is a large reservoir on the Middle Fork Willamette River in Oregon, known for hydroelectric power generation, flood control, and outdoor recreation such as boating and fishing.
 E2212964 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: Lookout Point Lake | Statement: [Hills Creek Reservoir, nearbyWaterBody, Lookout Point Lake]
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: Lookout Point Lake
Triple: [Hills Creek Reservoir, nearbyWaterBody, Lookout Point Lake]
Generated description
Lookout Point Lake is a large reservoir on the Middle Fork Willamette River in Oregon, known for hydroelectric power generation, flood control, and outdoor recreation such as boating and fishing.

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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6790448190a24047523a019f81 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3efd90469c8190809aa78d37c14bd1 completed June 26, 2026, 10:30 p.m.
NEDg Description generation batch_6a3f4145d5788190a294d76bb2c620c6 completed June 27, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a3f41b2c7f88190a83ee8645c165de4 completed June 27, 2026, 3:21 a.m.
Created at: April 10, 2026, 5:44 a.m.