Triple
T1309479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molos promenade |
E27955
|
entity |
| Predicate | locatedIn |
P40
|
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: [Molos promenade, locatedIn, Limassol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limassol Context triple: [Molos promenade, locatedIn, 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.
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.
-
C.
Nicosia
Nicosia is the capital and largest city of Cyprus, known for being the last divided capital in Europe, split between the Greek Cypriot south and Turkish Cypriot north.
-
D.
Old Port of Limassol
The Old Port of Limassol is a historic harbor area in Limassol, Cyprus, now revitalized as a waterfront district with restaurants, cafes, and leisure facilities.
-
E.
Limassol Marina
Limassol Marina is a luxury waterfront development in Limassol, Cyprus, combining a modern yacht marina with upscale residences, dining, and retail facilities.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c139551081908ad8eb670c621fff |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e62007081908dc993492e23dda5 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 7:51 p.m.