Triple
T29663391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outlandos d’Amour |
E750465
|
entity |
| Predicate | originalLabelRegion |
P120717
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Outlandos d’Amour, originalLabelRegion, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLabelRegion Context triple: [Outlandos d’Amour, originalLabelRegion, United Kingdom]
-
A.
originalLabel
Indicates the primary or initial label or name originally assigned to an entity before any changes or translations.
-
B.
labelRegion
Indicates assigning a categorical or descriptive label to a specified region or area.
-
C.
nativeLabel
Indicates the label or name of an entity expressed in its own native or original language.
-
D.
primaryRecognitionRegion
Indicates the region that serves as the main or most authoritative area where a recognition, identification, or acknowledgment of something is established or applied.
-
E.
originalTitleRegion
chosen
Indicates that a work’s original title is associated with or used in a specific geographic or linguistic region.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: April 28, 2026, 7 p.m.