Triple
T32187433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRZ |
E822143
|
entity |
| Predicate | associatedCompanyBusinessFocus |
P94523
|
FINISHED |
| Object | commercial office properties |
—
|
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: commercial office properties | Statement: [TRZ, associatedCompanyBusinessFocus, commercial office properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyBusinessFocus Context triple: [TRZ, associatedCompanyBusinessFocus, commercial office properties]
-
A.
underlyingCompanyBusinessFocus
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
-
B.
associatedCompanyBusinessSegment
chosen
Indicates that a company is linked to a specific business segment through its operations, products, or services.
-
C.
associatedCompanySpecialization
Indicates that a company is linked to a particular area of specialization or expertise.
-
D.
associatedOrganizationFocus
Indicates that an organization is linked to or concerned with a particular area of activity, topic, or domain as a primary focus.
-
E.
associatedCompanyAdditionalBusinessLine
Indicates that an associated company engages in one or more additional business lines beyond its primary line of business.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:35 a.m.