Triple
T27979140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyprus–United Kingdom relations |
E706570
|
entity |
| Predicate | CyprusEmbassyLocation |
P164372
|
FINISHED |
| Object | London |
—
|
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: London | Statement: [Cyprus–United Kingdom relations, CyprusEmbassyLocation, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CyprusEmbassyLocation Context triple: [Cyprus–United Kingdom relations, CyprusEmbassyLocation, London]
-
A.
embassyOfSyriaLocation
Indicates the location where the embassy representing Syria is situated.
-
B.
USEmbassyLocation
Indicates that a specified location is the site where the United States embassy for a particular country is situated.
-
C.
EgyptEmbassyLocationInIsrael
Indicates that the location specified is where Egypt’s embassy is situated within Israel.
-
D.
EstonianEmbassyLocation
Indicates the location where an Estonian embassy is situated.
-
E.
embassyOfUnitedStatesLocation
Indicates the geographic location where a particular United States embassy is situated.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 7:43 p.m.