Triple
T4176717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ship |
E86493
|
entity |
| Predicate | exteriorAppearance |
P19771
|
FINISHED |
| Object | police 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 box | Statement: [The Ship, exteriorAppearance, police box]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exteriorAppearance Context triple: [The Ship, exteriorAppearance, police box]
-
A.
exteriorFeature
chosen
Indicates a relationship where one entity serves as an external or outward-facing feature, element, or characteristic of another entity.
-
B.
exteriorMaterial
Indicates the material that forms the outer surface or outer construction of an object or structure.
-
C.
hasExteriorStyle
Indicates that an entity possesses or is characterized by a particular exterior design or stylistic appearance.
-
D.
exteriorColor
Indicates the relationship that specifies the color on the outside surface of an entity.
-
E.
hasFrontDoorColor
Indicates that an entity’s front door is characterized by a specific color.
- 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_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. |
Created at: March 9, 2026, 3:45 p.m.