Triple
T2444724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS |
E53362
|
entity |
| Predicate | notReassignedToAnotherCountry |
P38524
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [IS, notReassignedToAnotherCountry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notReassignedToAnotherCountry Context triple: [IS, notReassignedToAnotherCountry, true]
-
A.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
-
B.
notTransmittedBy
Indicates that a particular entity does not serve as a carrier or medium through which something (such as a disease, signal, or information) is passed from one entity to another.
-
C.
leftCountry
Indicates that an entity has departed from or is no longer residing in a specified country.
-
D.
hasFormerCountry
Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
-
E.
replacedInCountry
Indicates that one entity has been substituted or superseded by another within the context or jurisdiction of a specific country.
- F. None of above. chosen
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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcabf477081908512df63ac1a6414 |
completed | March 7, 2026, 6:50 a.m. |
| PD | Predicate disambiguation | batch_69abc5ad8e588190b97c4cd7cf575043 |
completed | March 7, 2026, 6:29 a.m. |
| PDg | Predicate description generation | batch_69abcabe646c8190855d13b5dff07b97 |
completed | March 7, 2026, 6:50 a.m. |
Created at: March 6, 2026, 9:43 p.m.