Triple
T20337353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belasica Mountains |
E495648
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kerkini
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
|
E1425891
|
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: Kerkini | Statement: [Belasica Mountains, hasAlternativeName, Kerkini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerkini Context triple: [Belasica Mountains, hasAlternativeName, Kerkini]
-
A.
Kerkini dam
Kerkini dam is a man-made structure in northern Greece that created Lake Kerkini, transforming the area into a significant wetland and national park.
-
B.
Krestena
Krestena is a small town in western Greece, located in the regional unit of Elis in the Peloponnese.
-
C.
Kara Kilise
Kara Kilise is an ancient Armenian monastery in northwestern Iran, renowned for its distinctive black-and-white stone architecture and significance as one of the oldest Christian sites in the region.
-
D.
Kerkebet
Kerkebet is a small town in the Anseba region of Eritrea.
-
E.
Qara Kelisa
Qara Kelisa is an ancient Armenian monastery in northwestern Iran, renowned as one of the world’s oldest Christian churches and a UNESCO World Heritage Site.
- 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: Kerkini Triple: [Belasica Mountains, hasAlternativeName, Kerkini]
Generated description
Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kerkini Target entity description: Kerkini is an alternative name for the Belasica mountain range in the Balkans, which spans parts of Greece, North Macedonia, and Bulgaria.
-
A.
Kerkini dam
Kerkini dam is a man-made structure in northern Greece that created Lake Kerkini, transforming the area into a significant wetland and national park.
-
B.
Krestena
Krestena is a small town in western Greece, located in the regional unit of Elis in the Peloponnese.
-
C.
Kara Kilise
Kara Kilise is an ancient Armenian monastery in northwestern Iran, renowned for its distinctive black-and-white stone architecture and significance as one of the oldest Christian sites in the region.
-
D.
Kerkebet
Kerkebet is a small town in the Anseba region of Eritrea.
-
E.
Qara Kelisa
Qara Kelisa is an ancient Armenian monastery in northwestern Iran, renowned as one of the world’s oldest Christian churches and a UNESCO World Heritage Site.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0869587df48190996936ccf1b87f1c |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a086af1f6e08190bcf1adfb619d77b2 |
completed | May 16, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086b7abb3081909087c965ca8a6793 |
completed | May 16, 2026, 1:04 p.m. |
Created at: April 16, 2026, 11:23 a.m.