Triple
T548676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Yellow House |
E12787
|
entity |
| Predicate | depicts human activity |
P1581
|
FINISHED |
| Object | figures in the 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: figures in the street | Statement: [The Yellow House, depicts human activity, figures in the street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depicts human activity Context triple: [The Yellow House, depicts human activity, figures in the street]
-
A.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
B.
depicts
chosen
Indicates that one entity visually represents, portrays, or shows another entity.
-
C.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
activity
Indicates that an entity is engaged in or performing a particular action, behavior, or process.
-
E.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.