Triple

T26104381
Position Surface form Disambiguated ID Type / Status
Subject Ohio Wildlife Areas system E658495 entity
Predicate hasPart P35 FINISHED
Object Indian Lake Wildlife Area
Indian Lake Wildlife Area is a protected natural area in Ohio managed for wildlife conservation and public outdoor recreation such as hunting, fishing, and wildlife viewing.
 E1763923 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: Indian Lake Wildlife Area | Statement: [Ohio Wildlife Areas system, hasPart, Indian Lake 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: Indian Lake Wildlife Area
Triple: [Ohio Wildlife Areas system, hasPart, Indian Lake Wildlife Area]
Generated description
Indian Lake Wildlife Area is a protected natural area in Ohio managed for wildlife conservation and public outdoor recreation such as hunting, fishing, and wildlife viewing.

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_69ee5bc09c288190bc42a11972841383 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f60774d1648190a2616433371e1d51 completed May 2, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262421f9c8190ac79541ca624ba41 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126e2718388190b31720053e52d8d5 completed May 24, 2026, 3:19 a.m.
NED2 Entity disambiguation (via description) batch_6a126e921a948190aa5d244eb9c4ddea completed May 24, 2026, 3:20 a.m.
Created at: April 26, 2026, 7:57 p.m.