Triple

T26342258
Position Surface form Disambiguated ID Type / Status
Subject Milford State Park E662677 entity
Predicate adjacentTo P224 FINISHED
Object Milford Wildlife Area
Milford Wildlife Area is a protected natural habitat in Kansas known for its diverse wildlife, wetlands, and outdoor recreation opportunities such as hunting, fishing, and birdwatching.
 E1779168 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: Milford Wildlife Area | Statement: [Milford State Park, adjacentTo, Milford Wildlife Area]
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: Milford Wildlife Area
Triple: [Milford State Park, adjacentTo, Milford Wildlife Area]
Generated description
Milford Wildlife Area is a protected natural habitat in Kansas known for its diverse wildlife, wetlands, and outdoor recreation opportunities such as hunting, fishing, and birdwatching.

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_69ee81304194819092e20e0fae3aee07 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60fa3f27c8190a6f4223beb94a82e completed May 2, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0a95030819097072f0b6e14eabf completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d10cedc88190bd016635b51fd8c8 completed May 24, 2026, 10:21 a.m.
NED2 Entity disambiguation (via description) batch_6a12d19279a881908236e7043970cd42 completed May 24, 2026, 10:23 a.m.
Created at: April 26, 2026, 10:39 p.m.