Triple
T6852539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Cyprus |
E158055
|
entity |
| Predicate | importantPort |
P2994
|
FINISHED |
| Object | Limassol |
E4668
|
NE 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: Limassol | Statement: [Kingdom of Cyprus, importantPort, Limassol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limassol Context triple: [Kingdom of Cyprus, importantPort, Limassol]
-
A.
Limassol
chosen
Limassol is a major coastal city in Cyprus known for its busy port, tourism, and role as a commercial and financial hub in the Eastern Mediterranean.
-
B.
Limassol District
Limassol District is a coastal administrative region in southern Cyprus that includes the city of Limassol and its surrounding urban and rural areas.
-
C.
Larnaca
Larnaca is a coastal city in southeastern Cyprus known for its historic sites, palm-lined seafront, and role as a major tourism and transport hub.
-
D.
Paphos
Paphos is an ancient coastal city in Cyprus famed in Greek mythology as a principal cult center and legendary birthplace of the goddess Aphrodite.
-
E.
Limassol Old Town
Limassol Old Town is the historic center of Limassol, Cyprus, known for its medieval castle, narrow streets, traditional architecture, and vibrant mix of shops, cafes, and cultural sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84fffbc8190943ca7f3f03937e9 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbb542f08190bfea892ea90390b3 |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 2:20 p.m.