Triple
T9306207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CenterPoint Properties |
E223889
|
entity |
| Predicate | propertyCategory |
P5777
|
FINISHED |
| Object | Class A industrial 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: Class A industrial real estate | Statement: [CenterPoint Properties, propertyCategory, Class A industrial real estate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyCategory Context triple: [CenterPoint Properties, propertyCategory, Class A industrial real estate]
-
A.
realEstateCategory
chosen
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
-
B.
architectureProperty
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
-
C.
residenceType
Indicates the kind or category of dwelling or living arrangement associated with an entity.
-
D.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
E.
propertyType_rid
Indicates that an entity is associated with a specific property type identified by a unique resource identifier (RID).
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd1da7c1e08190af19169f5d806cde |
completed | April 1, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.