Triple
T34330809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsieur La Motte |
E881000
|
entity |
| Predicate | originalWorkCountryOfPublication |
P322
|
FINISHED |
| Object | Great Britain |
E68586
|
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: Great Britain | Statement: [Monsieur La Motte, originalWorkCountryOfPublication, Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWorkCountryOfPublication Context triple: [Monsieur La Motte, originalWorkCountryOfPublication, Great Britain]
-
A.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
B.
countryOfPublication
chosen
Indicates the country in which a work was formally published or made publicly available.
-
C.
countryOfNotableWork
Indicates the country with which a notable work is primarily associated, such as where it was created, set, or gained its significance.
-
D.
associatedWorkCountryOfOrigin
Indicates that the related work originates from, or is primarily associated with, a specified country.
-
E.
countryOfManuscript
Indicates the country with which a manuscript is associated, typically where it was created, found, or is held.
- 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_69f349ba96a08190b94887bae2d8ee49 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36f9aa31d4819083078cbef789b200 |
completed | June 20, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:58 a.m.