Triple
T20206874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lezhë County |
E493374
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Orosh
Orosh is a small village in northern Albania known for its mountainous landscape and historical ties to the Mirdita region.
|
E1418328
|
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: Orosh | Statement: [Lezhë County, containsSettlement, Orosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orosh Context triple: [Lezhë County, containsSettlement, Orosh]
-
A.
Oroko
The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
-
B.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
C.
Oros
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
-
D.
Oros
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
-
E.
Orok
Orok, also known as Uilta, is a small Tungusic ethnic group indigenous to Sakhalin Island in Russia, traditionally engaged in reindeer herding, fishing, and hunting.
- 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: Orosh Triple: [Lezhë County, containsSettlement, Orosh]
Generated description
Orosh is a small village in northern Albania known for its mountainous landscape and historical ties to the Mirdita region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orosh Target entity description: Orosh is a small village in northern Albania known for its mountainous landscape and historical ties to the Mirdita region.
-
A.
Oroko
The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
-
B.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
C.
Oros
Oros is a surname most notably associated with Joe Oros, an American automobile designer known for his work at Ford.
-
D.
Oros
Oros is a town in Maharashtra, India, that serves as an administrative and commercial center for the surrounding Sindhudurg district.
-
E.
Orok
Orok, also known as Uilta, is a small Tungusic ethnic group indigenous to Sakhalin Island in Russia, traditionally engaged in reindeer herding, fishing, and hunting.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d922ebc8190ae012da8ceba74dd |
completed | April 20, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0843ecd72c8190a605ccb8af032795 |
completed | May 16, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_6a0845193350819088523da3087fe421 |
completed | May 16, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0845e241048190ba7fb657d4dca3d7 |
completed | May 16, 2026, 10:24 a.m. |
Created at: April 11, 2026, 11:38 p.m.