Triple
T29895647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Adventures series |
E759269
|
entity |
| Predicate | licenceStatus |
P48284
|
FINISHED |
| Object | Doctor Who licence withdrawn by BBC in late 1990s |
—
|
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Phrase: Doctor Who licence withdrawn by BBC in late 1990s | Statement: [New Adventures series, licenceStatus, Doctor Who licence withdrawn by BBC in late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licenceStatus Context triple: [New Adventures series, licenceStatus, Doctor Who licence withdrawn by BBC in late 1990s]
-
A.
licenseStatus
chosen
Indicates the current state or condition of a license in relation to its validity, permissions, or compliance.
-
B.
licenceBuiltIn
Indicates that a licence is inherently included within or comes pre-installed as part of another product, system, or component rather than being added separately.
-
C.
licenceCode
Indicates that one entity is associated with a specific license identifier or code that governs its permitted use or distribution.
-
D.
licenceBuiltFrom
Indicates that a licence is derived from, based on, or constructed using another underlying licence or licensing framework.
-
E.
licenseFocus
Indicates that a license specifically targets, applies to, or is primarily concerned with a particular subject, activity, or scope.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 6:04 p.m.