Triple
T16571811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alert, Nunavut |
E402605
|
entity |
| Predicate | distanceToIqaluit |
P124102
|
FINISHED |
| Object | over 2000 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: over 2000 km | Statement: [Alert, Nunavut, distanceToIqaluit, over 2000 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToIqaluit Context triple: [Alert, Nunavut, distanceToIqaluit, over 2000 km]
-
A.
distanceFromQuesnel
Indicates the spatial distance between a given entity or location and Quesnel.
-
B.
distanceFromFairbanks
Indicates the spatial distance between a given location or entity and the city of Fairbanks.
-
C.
distanceToMontreal
Indicates the spatial distance between a given entity’s location and the city of Montreal.
-
D.
distanceFromFortWilliam
Indicates the measured distance between an entity and Fort William.
-
E.
distanceToGatineauByRoad_km
Indicates the length, in kilometers, of the road route needed to travel from an entity to Gatineau.
- 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_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. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.