Triple
T28174778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town Hall at Auvers |
E715560
|
entity |
| Predicate | hasEnvironmentDepicted |
P139238
|
FINISHED |
| Object | street |
—
|
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: street | Statement: [The Town Hall at Auvers, hasEnvironmentDepicted, street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnvironmentDepicted Context triple: [The Town Hall at Auvers, hasEnvironmentDepicted, street]
-
A.
hasExhibitEnvironment
Indicates that an exhibit is associated with or situated within a particular environment or setting in which it is displayed.
-
B.
hasGeneralEnvironment
Indicates that an entity exists or operates within a broad or overall environmental context or setting.
-
C.
isEnvironmentOf
Indicates that one entity serves as the surrounding conditions, context, or setting in which another entity exists, operates, or occurs.
-
D.
sceneDepicts
chosen
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
-
E.
usedInEnvironment
Indicates that something is utilized or operates within a particular environment or context.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 10:15 p.m.