Triple
T26161259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taum Sauk Mountain State Park |
E654116
|
entity |
| Predicate | hasTrail |
P3625
|
FINISHED |
| Object |
Mina Sauk Falls Trail
Mina Sauk Falls Trail is a popular hiking route in Missouri known for leading to the state’s highest waterfall and offering rugged, scenic views around Taum Sauk Mountain.
|
E1712526
|
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: Mina Sauk Falls Trail | Statement: [Taum Sauk Mountain State Park, hasTrail, Mina Sauk Falls Trail]
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: Mina Sauk Falls Trail Triple: [Taum Sauk Mountain State Park, hasTrail, Mina Sauk Falls Trail]
Generated description
Mina Sauk Falls Trail is a popular hiking route in Missouri known for leading to the state’s highest waterfall and offering rugged, scenic views around Taum Sauk Mountain.
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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c15e9848190ad5dcdb8879aadf7 |
completed | May 2, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1127758eac8190943d0a958a0a885c |
completed | May 23, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a1151871df081908c64621371d034eb |
completed | May 23, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1151e1c41081908760685783e2a82a |
completed | May 23, 2026, 7:06 a.m. |
Created at: April 26, 2026, 8:30 p.m.