Triple
T26628717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermont, Quebec |
E668431
|
entity |
| Predicate | windbreakBuildingLength |
P161068
|
FINISHED |
| Object | approximately 1.3 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: approximately 1.3 km | Statement: [Fermont, Quebec, windbreakBuildingLength, approximately 1.3 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windbreakBuildingLength Context triple: [Fermont, Quebec, windbreakBuildingLength, approximately 1.3 km]
-
A.
lengthOfMainBuilding
Indicates the measured physical length of the main building in the context of a larger structure or site.
-
B.
façadeWidth
Indicates the measured horizontal extent of a building’s front face (façade), typically from one side edge to the other.
-
C.
cityWallLength
Indicates the measured length or extent of a city's defensive wall.
-
D.
poleLength
Indicates the length measurement associated with a pole in the relationship.
-
E.
arenaWidth
Indicates the width dimension of an arena in a given context or representation.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615eb58b08190977be06263d41613 |
completed | May 2, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:24 a.m.