Triple
T5857788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plomari |
E130196
|
entity |
| Predicate | hasSettlementPart |
P8239
|
FINISHED |
| Object |
Melinta
Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
|
E551086
|
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: Melinta | Statement: [Plomari, hasSettlementPart, Melinta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melinta Context triple: [Plomari, hasSettlementPart, Melinta]
-
A.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
B.
Melitene
Melitene was an important ancient city in eastern Anatolia, serving as a strategic military and administrative center of the Roman and Byzantine Empires near the upper Euphrates.
-
C.
Melika
Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Mylasa
Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
- 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: Melinta Triple: [Plomari, hasSettlementPart, Melinta]
Generated description
Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Melinta Target entity description: Melinta is a small coastal village on the Greek island of Lesbos, known for its quiet beaches and traditional Aegean character.
-
A.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
B.
Melitene
Melitene was an important ancient city in eastern Anatolia, serving as a strategic military and administrative center of the Roman and Byzantine Empires near the upper Euphrates.
-
C.
Melika
Melika is a historic oasis town in Algeria’s M’zab Valley, known for its traditional Ibadi Muslim community and distinctive Saharan architecture.
-
D.
Lemi
Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
-
E.
Mylasa
Mylasa was an important ancient city of Caria in southwestern Anatolia, known as a political and religious center, particularly for the worship of Zeus.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355755508190ab349cdcf0c8a58d |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c00a8881908570f7127418e7ff |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a346bea08190880f30866429791d |
completed | March 23, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a3d162908190b0249f0ce620eda0 |
completed | March 23, 2026, 2:22 a.m. |
Created at: March 22, 2026, 3:56 p.m.