Triple
T22411380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underground City of Montreal |
E554000
|
entity |
| Predicate | numberOfBuildingsConnected |
P11484
|
FINISHED |
| Object | over 60 residential and commercial complexes |
—
|
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 60 residential and commercial complexes | Statement: [Underground City of Montreal, numberOfBuildingsConnected, over 60 residential and commercial complexes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBuildingsConnected Context triple: [Underground City of Montreal, numberOfBuildingsConnected, over 60 residential and commercial complexes]
-
A.
numberOfBuildings
chosen
Indicates the total count of buildings associated with a given entity or within a specified context.
-
B.
numberOfTowers
Indicates the quantity of towers associated with or contained by a given entity.
-
C.
hasMultipleBuildings
Indicates that an entity possesses, controls, or is associated with more than one distinct building.
-
D.
connectsNeighborhoodsIn
Indicates a relationship where something (such as a route, road, or service) links or provides direct access between two or more neighborhoods.
-
E.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15942edb081909869ae013ea72f09 |
completed | April 29, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.