Triple
T33025684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Adventure of the Blanched Soldier |
E845035
|
entity |
| Predicate | originallyPublishedInCountry |
P322
|
FINISHED |
| Object | United Kingdom |
E732
|
NE 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: United Kingdom | Statement: [The Adventure of the Blanched Soldier, originallyPublishedInCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyPublishedInCountry Context triple: [The Adventure of the Blanched Soldier, originallyPublishedInCountry, United Kingdom]
-
A.
countryOfPublication
chosen
Indicates the country in which a work was formally published or made publicly available.
-
B.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
-
C.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
D.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
E.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
- F. None of above.
Provenance (4 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a021706e21c81909b83e2b4d9c4130c |
completed | May 11, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34e4f046dc8190a14945d5aeae7a54 |
completed | June 19, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_6a0216861214819097d2177755bc19d7 |
completed | May 11, 2026, 5:48 p.m. |
Created at: May 1, 2026, 1:23 a.m.