Triple
T2129050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TrizecHahn |
E46491
|
entity |
| Predicate | typeOfProjects |
P6242
|
FINISHED |
| Object | large-scale commercial real estate |
—
|
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: large-scale commercial real estate | Statement: [TrizecHahn, typeOfProjects, large-scale commercial real estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfProjects Context triple: [TrizecHahn, typeOfProjects, large-scale commercial real estate]
-
A.
notableProjectType
chosen
Indicates the type or category of a project for which an entity is particularly well-known or notable.
-
B.
typeOfWork
Indicates the kind or category of work associated with or performed by an entity.
-
C.
projectFaced
Indicates that a project encountered or experienced specific challenges, obstacles, or conditions during its course.
-
D.
portfolioOf
Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
-
E.
projectsInto
Indicates that one entity extends or maps its form, structure, or influence into another space, domain, or 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb7659f48190871cb27faf47e18a |
completed | March 7, 2026, 5:45 a.m. |
| PD | Predicate disambiguation | batch_69abb7bd86cc8190938ef06c1ed6d969 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:44 p.m.