Triple
T25149922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alsana Iqbal |
E630040
|
entity |
| Predicate | workOfFictionCountryOfPublication |
P322
|
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: [Alsana Iqbal, workOfFictionCountryOfPublication, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workOfFictionCountryOfPublication Context triple: [Alsana Iqbal, workOfFictionCountryOfPublication, United Kingdom]
-
A.
countryOfPublication
chosen
Indicates the country in which a work was formally published or made publicly available.
-
B.
literaryOriginCountry
Indicates the country from which a literary work or literary tradition originally comes.
-
C.
lightNovelPublisherCountry
Indicates the country in which the publisher of a given light novel is based.
-
D.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
E.
writtenInCountry
Indicates that a written work was created, authored, or composed within the geographical boundaries of a specific country.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46b824edc8190ab3780e1e344def6 |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:30 a.m.