Triple
T27412508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franz Josef Glacier |
E692193
|
entity |
| Predicate | walkingTrack |
P162388
|
FINISHED |
| Object | Franz Josef Glacier Valley Walk |
—
|
NE NERFINISHED |
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: Franz Josef Glacier Valley Walk | Statement: [Franz Josef Glacier, walkingTrack, Franz Josef Glacier Valley Walk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: walkingTrack Context triple: [Franz Josef Glacier, walkingTrack, Franz Josef Glacier Valley Walk]
-
A.
tracksLocation
Indicates that one entity monitors and records the geographic position or movement of another entity over time.
-
B.
walkThrough
Indicates moving through or along the interior or extent of something, typically traversing a space or environment from one side or point to another.
-
C.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
-
D.
trackFeature
Indicates that one entity monitors, records, or follows the behavior, state, or evolution of a particular feature associated with another entity.
-
E.
trackSystem
Indicates a relationship where one entity monitors, records, or follows the status, behavior, or changes of another entity within a system.
- F. None of above. chosen
Provenance (4 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cdb62608190a8e1c84a631de5ce |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f623aaf40081909f947431424a1d55 |
completed | May 2, 2026, 4:17 p.m. |
| PDg | Predicate description generation | batch_69f624c006788190a2f4d5015c96463f |
completed | May 2, 2026, 4:22 p.m. |
Created at: April 27, 2026, 12:32 p.m.