Triple
T2856591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankee Candle Village |
E63213
|
entity |
| Predicate | hasIndoorEnvironment |
P6655
|
FINISHED |
| Object | climate-controlled shopping areas |
—
|
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: climate-controlled shopping areas | Statement: [Yankee Candle Village, hasIndoorEnvironment, climate-controlled shopping areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorEnvironment Context triple: [Yankee Candle Village, hasIndoorEnvironment, climate-controlled shopping areas]
-
A.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
hasInteriorFeature
chosen
Indicates that an entity contains or includes a specific feature within its interior space.
-
C.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
D.
hasIndoorExhibits
Indicates that an entity provides or contains exhibits that are located indoors.
-
E.
hasLivingEnvironment
Indicates that an entity exists or resides within a particular living environment or habitat.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf62308081908a65decdd5d6f918 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.