Triple
T12063706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exit Glacier |
E287238
|
entity |
| Predicate | approximateDistanceFromSeward |
P103009
|
FINISHED |
| Object | about 12 miles |
—
|
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 12 miles | Statement: [Exit Glacier, approximateDistanceFromSeward, about 12 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateDistanceFromSeward Context triple: [Exit Glacier, approximateDistanceFromSeward, about 12 miles]
-
A.
distanceFromAnchorage
Indicates the measured distance between a given location or object and Anchorage.
-
B.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
C.
distanceToSeattle
Indicates the measured or calculated distance between a given entity’s location and the city of Seattle.
-
D.
distanceToDenali
Indicates the measured or estimated spatial distance between a given entity and Denali.
-
E.
distanceToSapporo
Indicates the measured or calculated distance between a given entity and the location of Sapporo.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.