Triple
T3840117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagori |
E93429
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kapesovo
Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
|
E394391
|
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: Kapesovo | Statement: [Zagori, contains, Kapesovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kapesovo Context triple: [Zagori, contains, Kapesovo]
-
A.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
B.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
C.
Kocani
Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
-
D.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
E.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
- 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: Kapesovo Triple: [Zagori, contains, Kapesovo]
Generated description
Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kapesovo Target entity description: Kapesovo is a traditional stone-built village in the Zagori region of Epirus, Greece, known for its preserved architecture and scenic mountainous setting.
-
A.
Kamenitsa
Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
-
B.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
C.
Kocani
Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
-
D.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
E.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeba1535c8190b36e2ab2d4514b54 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51228a7a48190bc42898be15b450b |
completed | March 14, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69b512e3721c8190accd26499191c153 |
completed | March 14, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513618b888190acda94dcc91d24d2 |
completed | March 14, 2026, 7:50 a.m. |
Created at: March 9, 2026, 3:18 p.m.