Triple
T5815723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Grammos |
E128979
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Ersekë
Ersekë is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
|
E546652
|
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: Ersekë | Statement: [Mount Grammos, hasNearbySettlement, Ersekë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ersekë Context triple: [Mount Grammos, hasNearbySettlement, Ersekë]
-
A.
Albanne
Albanne is a small river in the Savoie department of southeastern France that flows through the area around Chambéry.
-
B.
Albania
Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
-
C.
Elbasan
Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
-
D.
Montenegro
Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
-
E.
Gjakova
Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
- 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: Ersekë Triple: [Mount Grammos, hasNearbySettlement, Ersekë]
Generated description
Ersekë is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ersekë Target entity description: Ersekë is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
-
A.
Albanne
Albanne is a small river in the Savoie department of southeastern France that flows through the area around Chambéry.
-
B.
Albania
Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
-
C.
Elbasan
Elbasan is a city in central Albania known as an important industrial and transportation hub with historical roots dating back to the Ottoman era.
-
D.
Montenegro
Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
-
E.
Gjakova
Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
- 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_69c0084869e881908d7859492183ca7b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0336344148190bcf417c0b9617cb9 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098d936d081909d930fc8b6b3fd67 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:53 p.m.