Triple
T24335527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Glacier |
E613368
|
entity |
| Predicate | distanceToFranzJosefGlacier |
P155753
|
FINISHED |
| Object | about 20 kilometres |
—
|
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: about 20 kilometres | Statement: [Fox Glacier, distanceToFranzJosefGlacier, about 20 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToFranzJosefGlacier Context triple: [Fox Glacier, distanceToFranzJosefGlacier, about 20 kilometres]
-
A.
distanceToGlacierNationalPark
Indicates the measured or estimated spatial distance between a given entity’s location and Glacier National Park.
-
B.
distanceToGreymouth
Indicates the spatial distance between a given entity or location and the town of Greymouth.
-
C.
distanceToTekapo_km
Indicates the physical distance, measured in kilometers, between a given entity and Tekapo.
-
D.
distanceToŚnieżka
Indicates the measured or calculated spatial distance from a given entity or location to Śnieżka.
-
E.
distanceFromMaranguGate
Indicates the spatial distance measured from the Marangu Gate to a given location or entity.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292f5346881909ca93b7ceef543ed |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:56 a.m.