Triple
T11081443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotemba Trail |
E262002
|
entity |
| Predicate | hasStartingPointType |
P389
|
FINISHED |
| Object | 5th Station |
—
|
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: 5th Station | Statement: [Gotemba Trail, hasStartingPointType, 5th Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartingPointType Context triple: [Gotemba Trail, hasStartingPointType, 5th Station]
-
A.
hasStartingArea
Indicates that an entity is associated with, or begins from, a specific initial area or region.
-
B.
hasStartPattern
Indicates that something begins with, or is characterized at its outset by, a specified pattern.
-
C.
startPoint
chosen
Indicates the initial location or position from which an object, path, or action begins.
-
D.
isStartingPointOf
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
E.
hasInitialPointMonument
Indicates that a monument serves as the designated initial or starting point for a referenced spatial feature or boundary.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799985650819089b2c0f35a212414 |
completed | April 9, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.