Triple
T29344040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markham Centre |
E744115
|
entity |
| Predicate | densityType |
P135272
|
FINISHED |
| Object | high-density |
—
|
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: high-density | Statement: [Markham Centre, densityType, high-density]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: densityType Context triple: [Markham Centre, densityType, high-density]
-
A.
typeOfDensity
chosen
Indicates the specific category or kind of density (e.g., mass, population, charge) that characterizes a given quantity or measurement.
-
B.
densityClass
Indicates the classification of an entity based on its density level or range.
-
C.
densityCharacteristic
Indicates that one entity specifies or characterizes the density property or density-related attribute of another entity.
-
D.
densityStructure
Indicates a relationship where one entity characterizes or defines the density-related structural properties or organization of another entity.
-
E.
densityComparedTo
Indicates a comparison between the densities of two entities, specifying which is denser or how their densities relate.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66928a36c8190b6a0917b0c54723e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2 p.m.