Triple
T3645933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milos |
E77301
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
Sarakiniko
Sarakiniko is a strikingly unique beach on the Greek island of Milos, famous for its smooth white volcanic rock formations that resemble a lunar landscape.
|
E376310
|
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: Sarakiniko | Statement: [Milos, hasBeach, Sarakiniko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarakiniko Context triple: [Milos, hasBeach, Sarakiniko]
-
A.
Cayor
Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
-
B.
Lafonia
Lafonia is a large, sparsely populated peninsula forming the southern part of East Falkland in the Falkland Islands.
-
C.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
-
D.
Denkyira
Denkyira was a powerful pre-colonial Akan state in what is now Ghana, known for its early dominance over neighboring states before being defeated and eclipsed by the rising Ashanti Empire.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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: Sarakiniko Triple: [Milos, hasBeach, Sarakiniko]
Generated description
Sarakiniko is a strikingly unique beach on the Greek island of Milos, famous for its smooth white volcanic rock formations that resemble a lunar landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarakiniko Target entity description: Sarakiniko is a strikingly unique beach on the Greek island of Milos, famous for its smooth white volcanic rock formations that resemble a lunar landscape.
-
A.
Cayor
Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
-
B.
Lafonia
Lafonia is a large, sparsely populated peninsula forming the southern part of East Falkland in the Falkland Islands.
-
C.
Tontola
Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
-
D.
Denkyira
Denkyira was a powerful pre-colonial Akan state in what is now Ghana, known for its early dominance over neighboring states before being defeated and eclipsed by the rising Ashanti Empire.
-
E.
Kaloum
Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3895198819090a17a8894e91d00 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f35985081909a499f9c1668b589 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b4520fb96481909f54af01fc4a3bbe |
completed | March 13, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45df65f5c8190a9f25e7da926222a |
completed | March 13, 2026, 6:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.