Triple
T16448692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stato da Mar |
E399497
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Famagusta |
E174472
|
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: Famagusta | Statement: [Stato da Mar, hasPart, Famagusta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Famagusta Context triple: [Stato da Mar, hasPart, Famagusta]
-
A.
Famagusta
chosen
Famagusta is a historic port city on the eastern coast of Cyprus, known for its medieval architecture, walled old town, and strategic maritime importance.
-
B.
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.
-
C.
Nicosia
Nicosia is a historic hill town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
-
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.
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.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cdee44c8190ae0df20c58ff7558 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4b738881908f8a205466397f33 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.