Triple
T23031122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloucester Premium Outlets |
E573457
|
entity |
| Predicate | hasOutdoorType |
P150728
|
FINISHED |
| Object | open-air walkable center |
—
|
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: open-air walkable center | Statement: [Gloucester Premium Outlets, hasOutdoorType, open-air walkable center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorType Context triple: [Gloucester Premium Outlets, hasOutdoorType, open-air walkable center]
-
A.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
B.
hasOutdoorResource
Indicates that an entity is associated with, provides, or includes access to an outdoor resource or facility.
-
C.
hasOutdoorFocus
Indicates a relationship where an entity is primarily concerned with, oriented toward, or specialized in outdoor environments, activities, or contexts.
-
D.
hasOutdoorSpaceType
Indicates the specific kind of outdoor area associated with an entity, such as a balcony, terrace, garden, or patio.
-
E.
isOutdoorFriendly
Indicates that something is suitable for use, presence, or activity in outdoor environments without causing problems or undue risk.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18481072c81909ab2a2c87e034433 |
completed | April 29, 2026, 4:09 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:53 p.m.