Triple
T7634652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morphou |
E172844
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Lefka
Lefka is a small town in the northwestern part of Cyprus, known for its citrus orchards, copper mining history, and proximity to the Morphou region.
|
E678492
|
NE FINISHED |
How this triple was built (4 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: Lefka | Statement: [Morphou, nearbyCity, Lefka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lefka Context triple: [Morphou, nearbyCity, Lefka]
-
A.
Lefka Ori
Lefka Ori is a rugged mountain range in western Crete, Greece, known for its high peaks, dramatic gorges, and distinctive pale limestone landscape.
-
B.
Lefkes
Lefkes is a traditional mountain village on the Greek island of Paros, known for its whitewashed houses, narrow alleys, and panoramic views.
-
C.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
D.
Loutsa
Loutsa is a coastal village in northwestern Greece known for its long sandy beach and clear Ionian Sea waters, making it a popular summer tourist destination.
-
E.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lefka Triple: [Morphou, nearbyCity, Lefka]
Generated description
Lefka is a small town in the northwestern part of Cyprus, known for its citrus orchards, copper mining history, and proximity to the Morphou region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lefka Target entity description: Lefka is a small town in the northwestern part of Cyprus, known for its citrus orchards, copper mining history, and proximity to the Morphou region.
-
A.
Lefka Ori
Lefka Ori is a rugged mountain range in western Crete, Greece, known for its high peaks, dramatic gorges, and distinctive pale limestone landscape.
-
B.
Lefkes
Lefkes is a traditional mountain village on the Greek island of Paros, known for its whitewashed houses, narrow alleys, and panoramic views.
-
C.
Leros
Leros is a Greek island in the southeastern Aegean Sea, known for its natural harbors, World War II history, and traditional villages.
-
D.
Loutsa
Loutsa is a coastal village in northwestern Greece known for its long sandy beach and clear Ionian Sea waters, making it a popular summer tourist destination.
-
E.
Amorgos
Amorgos is a Greek island in the Cyclades known for its dramatic cliffs, clear blue waters, and traditional whitewashed villages.
- F. None of above. chosen
Provenance (5 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa83fcc8190a3f0bb20cbe1b2d6 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870be4e18819089781c7493dea13b |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c87573c220819089e4f10f48669145 |
completed | March 29, 2026, 12:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c875e583708190b6d94d915b3461cb |
completed | March 29, 2026, 12:44 a.m. |
Created at: March 27, 2026, 3:57 p.m.