Triple
T711167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TARDIS |
E14208
|
entity |
| Predicate | nationalityOfExteriorDesign |
P16977
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [TARDIS, nationalityOfExteriorDesign, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalityOfExteriorDesign Context triple: [TARDIS, nationalityOfExteriorDesign, British]
-
A.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
B.
brandNationality
chosen
Indicates that a brand is associated with or originates from a particular country or nationality.
-
C.
architectNationality
Indicates the country or national affiliation associated with an architect.
-
D.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
E.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.