Triple
T25069494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mignon |
E627869
|
entity |
| Predicate | settingCountries |
P157605
|
FINISHED |
| Object | Italy |
—
|
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: Italy | Statement: [Mignon, settingCountries, Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingCountries Context triple: [Mignon, settingCountries, Italy]
-
A.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
B.
selectionCountry
Indicates that one entity is chosen or designated as the country associated with a particular selection or choice.
-
C.
includesCountriesWith
Indicates that something contains or encompasses one or more specified countries as part of its scope or composition.
-
D.
listingCountry
Indicates the country in which an item, asset, or entity is officially listed or made available.
-
E.
rangeCountries
Indicates the set of countries over which something (such as a service, product, or data coverage) is available, applicable, or valid.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f45d1207f48190899c35231bec98b2 |
completed | May 1, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:10 a.m.