Triple
T30555824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimushiru |
E777693
|
entity |
| Predicate | countryCurrentlyUsingName |
P174261
|
FINISHED |
| Object | none |
—
|
LITERAL 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: none | Statement: [Shimushiru, countryCurrentlyUsingName, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCurrentlyUsingName Context triple: [Shimushiru, countryCurrentlyUsingName, none]
-
A.
countryCurrently
Indicates that an entity is presently located in or associated with a specific country.
-
B.
presentNameCountry
chosen
Indicates that an entity is currently known or referred to by a specific country name.
-
C.
countrySpecificName
Indicates that an entity has a name or label that is specific to, or used within, a particular country.
-
D.
countryLabel
Indicates the name or label of the country associated with an entity.
-
E.
countryOfficialUse
Indicates that a country officially uses, recognizes, or adopts a particular entity (such as a language, currency, or symbol) in an official capacity.
- 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_69f2249e19108190a458ab446096bf22 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff84202eb081908ae21a54a4414d68 |
completed | May 9, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69ff833065e4819098579129d4ee17d3 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 29, 2026, 8:20 p.m.