Triple

T27324229
Position Surface form Disambiguated ID Type / Status
Subject Watters Smith Memorial State Park E689595 entity
Predicate namedAfter P63 FINISHED
Object Watters Smith
Watters Smith was an early settler and pioneer farmer in what is now West Virginia, whose homestead and legacy are commemorated by Watters Smith Memorial State Park.
E1767320 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: Watters Smith | Statement: [Watters Smith Memorial State Park, namedAfter, Watters Smith]
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: Watters Smith
Triple: [Watters Smith Memorial State Park, namedAfter, Watters Smith]
Generated description
Watters Smith was an early settler and pioneer farmer in what is now West Virginia, whose homestead and legacy are commemorated by Watters Smith Memorial State Park.

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_69ef355d4cb08190ab032c0a2e7d3753 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f627ed03ac8190a17ddacba96f8a48 completed May 2, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cbc4d0081908c9702539766bf16 completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129dc563e081909b6e07e29aad6ddb completed May 24, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_6a129e62fd248190b264904e77be6e5e completed May 24, 2026, 6:44 a.m.
Created at: April 27, 2026, 11:34 a.m.