Triple
T26815427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manic-5 dam |
E672110
|
entity |
| Predicate | distanceFromBaieComeau |
P198132
|
FINISHED |
| Object | about 214 km north |
—
|
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 214 km north | Statement: [Manic-5 dam, distanceFromBaieComeau, about 214 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBaieComeau Context triple: [Manic-5 dam, distanceFromBaieComeau, about 214 km north]
-
A.
distanceFromQuebecCity
Indicates the measured distance between a given place or object and Quebec City.
-
B.
distanceFromQuebecCityCentre
Indicates the measured spatial distance between a given location and the center of Quebec City.
-
C.
distanceFromLaval
Indicates the spatial distance between an entity and the location of Laval.
-
D.
distanceToMontreal
Indicates the spatial distance between a given entity’s location and the city of Montreal.
-
E.
distanceFromQuesnel
Indicates the spatial distance between a given entity or location and Quesnel.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: April 27, 2026, 4:32 a.m.