Triple

T35677484
Position Surface form Disambiguated ID Type / Status
Subject Little River Recreation Area E1030901 entity
Predicate hasWaterBody P165 FINISHED
Object Little River Lake
Little River Lake is a body of water located within the Little River Recreation Area, used primarily for outdoor recreation such as fishing, boating, and nature activities.
 E2215106 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: Little River Lake | Statement: [Little River Recreation Area, hasWaterBody, Little River 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: Little River Lake
Triple: [Little River Recreation Area, hasWaterBody, Little River Lake]
Generated description
Little River Lake is a body of water located within the Little River Recreation Area, used primarily for outdoor recreation such as fishing, boating, and nature activities.

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_69f76e0bb6608190ad3a1880be54a17d completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79fe647f081908e651c61ba350ba8 completed May 3, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a402b8b29a08190ba1adb71a36c93a0 completed June 27, 2026, 7:59 p.m.
NEDg Description generation batch_6a402c6811ec8190826d548b0cb3e067 completed June 27, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a402e1aa0f48190aab13b1e22d78014 completed June 27, 2026, 8:10 p.m.
Created at: May 3, 2026, 4:05 p.m.