Triple
T29687030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Cyprus (civil jurisdiction) |
E751112
|
entity |
| Predicate | islandState |
P168008
|
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: [Republic of Cyprus (civil jurisdiction), islandState, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandState Context triple: [Republic of Cyprus (civil jurisdiction), islandState, true]
-
A.
stateOfTerritory
Indicates the political or administrative state that has authority over a given territory.
-
B.
hasIslandStateCapitalStatus
Indicates that a city holds the official status of being the capital of an island-based state or territory.
-
C.
coastalState
Indicates that a state has a coastline adjacent to a sea or ocean, giving it maritime access and jurisdiction over nearby coastal waters.
-
D.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
E.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f67290d2a88190808bbb1528a5d895 |
completed | May 2, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 7:14 p.m.