Triple

T32289846
Position Surface form Disambiguated ID Type / Status
Subject Tennessee State Parks E824932 entity
Predicate hasNotablePark P642 FINISHED
Object Long Hunter State Park
Long Hunter State Park is a scenic public recreation area near Nashville, Tennessee, known for its hiking trails, lakeside activities, and diverse wildlife habitats.
E2100058 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: Long Hunter State Park | Statement: [Tennessee State Parks, hasNotablePark, Long Hunter State Park]
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: Long Hunter State Park
Triple: [Tennessee State Parks, hasNotablePark, Long Hunter State Park]
Generated description
Long Hunter State Park is a scenic public recreation area near Nashville, Tennessee, known for its hiking trails, lakeside activities, and diverse wildlife habitats.

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_69f349101b788190b4f14884dc7d1ed2 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bd334be48190a0b648eb8b9f1899 completed May 3, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729bc6bfc8190a0a9b37a71c855cd completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372ab15eec8190a4fdf96bf90d23d9 completed June 21, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a372b1cdbcc8190a2d89dbfdfcdde95 completed June 21, 2026, 12:06 a.m.
Created at: May 1, 2026, 12:44 a.m.