Triple
T28121596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Mountain |
E710805
|
entity |
| Predicate | travelMethodShown |
P86086
|
FINISHED |
| Object | on foot |
—
|
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: on foot | Statement: [North Mountain, travelMethodShown, on foot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelMethodShown Context triple: [North Mountain, travelMethodShown, on foot]
-
A.
transportModePresent
chosen
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
B.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
C.
transportOptions
Indicates the available means or methods by which something or someone can be transported from one place to another.
-
D.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
-
E.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 9:17 p.m.