Triple
T29645417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottom-Up Narrows |
E755984
|
entity |
| Predicate | maximumTypicalDistance |
P150843
|
FINISHED |
| Object | up to Big Springs for day hikers |
—
|
LITERAL 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: up to Big Springs for day hikers | Statement: [Bottom-Up Narrows, maximumTypicalDistance, up to Big Springs for day hikers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumTypicalDistance Context triple: [Bottom-Up Narrows, maximumTypicalDistance, up to Big Springs for day hikers]
-
A.
typicalRangeMaximum_km
chosen
Indicates the maximum distance, in kilometers, that is typically observed or expected for the range of something.
-
B.
typicalLinkDistance
Indicates the usual or characteristic distance that typically separates two linked or related entities.
-
C.
typicalRangeMinimum_km
Indicates the minimum distance, in kilometers, that is typically observed or expected within a given range for the relationship or measurement in question.
-
D.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
E.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
- F. None of above.
Provenance (3 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 6:49 p.m.