Triple
T31223581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty of Establishment of the Republic of Cyprus |
E796078
|
entity |
| Predicate | areaRetainedPurpose |
P171041
|
FINISHED |
| Object | military bases |
—
|
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: military bases | Statement: [Treaty of Establishment of the Republic of Cyprus, areaRetainedPurpose, military bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRetainedPurpose Context triple: [Treaty of Establishment of the Republic of Cyprus, areaRetainedPurpose, military bases]
-
A.
areaRetainedBy
chosen
Indicates that a specified area or region is kept, preserved, or maintained under the control or possession of a particular entity.
-
B.
accessPurpose
Indicates that one entity uses or accesses another entity specifically for a defined purpose or intended use.
-
C.
coveredArea
Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
scopeOfUse
Indicates the range, context, or conditions under which something is intended, allowed, or applicable to be used.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.