Triple
T15075346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Premium Outlets |
E379984
|
entity |
| Predicate | isOutdoorCenter |
P94421
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago Premium Outlets, isOutdoorCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOutdoorCenter Context triple: [Chicago Premium Outlets, isOutdoorCenter, true]
-
A.
isOutdoorMall
chosen
Indicates that a shopping area is an open-air mall, where stores are arranged outdoors rather than within an enclosed building.
-
B.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
C.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
D.
isOutdoorFriendly
Indicates that something is suitable for use, presence, or activity in outdoor environments without causing problems or undue risk.
-
E.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fb60448190b454386dd762644d |
completed | April 15, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:02 a.m.