Triple
T11263205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commerce, California |
E266615
|
entity |
| Predicate | hasOutletCenterFeature |
P98805
|
FINISHED |
| Object | factory outlet stores |
—
|
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: factory outlet stores | Statement: [Commerce, California, hasOutletCenterFeature, factory outlet stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutletCenterFeature Context triple: [Commerce, California, hasOutletCenterFeature, factory outlet stores]
-
A.
hasOutlet
Indicates that one entity provides, contains, or is equipped with an outlet or point of access for another entity.
-
B.
hasCenterType
Indicates that something is characterized by or assigned a specific type or category of center.
-
C.
hasOutletWorks
Indicates that an entity has associated works (such as publications, products, or content) that are distributed, presented, or made available through a particular outlet or channel.
-
D.
hasCenterIn
Indicates that something is located, based, or primarily focused within a specified central place or area.
-
E.
hasCircuitCentre
Indicates that an entity has, is associated with, or is organized around a specific circuit center that serves as its focal or central point.
- F. None of above. chosen
Provenance (4 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:31 p.m.