Triple
T4176760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Box |
E86494
|
entity |
| Predicate | hasExteriorType |
P54229
|
FINISHED |
| Object | Police telephone box |
—
|
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: Police telephone box | Statement: [The Box, hasExteriorType, Police telephone box]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExteriorType Context triple: [The Box, hasExteriorType, Police telephone box]
-
A.
hasExteriorStyle
Indicates that an entity possesses or is characterized by a particular exterior design or stylistic appearance.
-
B.
exteriorFeature
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
C.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
-
D.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
E.
hasRoofColor
Indicates that an entity possesses a roof whose color is the specified value.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af07059d288190a1ea79449414fbce |
completed | March 9, 2026, 5:44 p.m. |
Created at: March 9, 2026, 3:45 p.m.