Triple
T8844724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingletown |
E210474
|
entity |
| Predicate | hasBuiltEnvironmentFeature |
P11679
|
FINISHED |
| Object | converted warehouses |
—
|
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: converted warehouses | Statement: [Jingletown, hasBuiltEnvironmentFeature, converted warehouses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuiltEnvironmentFeature Context triple: [Jingletown, hasBuiltEnvironmentFeature, converted warehouses]
-
A.
hasBuiltEnvironment
chosen
Indicates that an entity possesses, contains, or is associated with human-made physical structures or infrastructure in its environment.
-
B.
hasEnvironmentType
Indicates that an entity is associated with or occurs within a specific type or category of environment.
-
C.
hasFeature
Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
-
D.
hasEnvironmentalFunction
Indicates that an entity serves a specific role or purpose related to the environment, such as contributing to ecological processes, protection, or sustainability.
-
E.
hasBuilt
Indicates that one entity is the creator or constructor of another entity.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60a6623c8190ba43545544f58633 |
completed | April 1, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69cc5c25b874819084c9ba391703e066 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:48 p.m.