Triple
T16572255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka, Nunavut |
E402615
|
entity |
| Predicate | distanceToAlertApproximate |
P37106
|
FINISHED |
| Object | about 480 km |
—
|
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 480 km | Statement: [Eureka, Nunavut, distanceToAlertApproximate, about 480 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAlertApproximate Context triple: [Eureka, Nunavut, distanceToAlertApproximate, about 480 km]
-
A.
approximateDistanceFrom
chosen
Indicates an estimated or rough measure of how far one entity is from another.
-
B.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
distanceFromHypocenter
Indicates the measured distance between a specified location and the hypocenter (origin point) of an event such as an earthquake.
-
D.
distanceFromReading
Indicates the measured spatial distance between a specified entity and the location of Reading.
-
E.
approximateLengthInMeters
Indicates the estimated or roughly measured length of something expressed in meters.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35959f1748190934b263d6bc94143 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.