Triple
T15925073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skenderaj |
E386186
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Llausha
Llausha is a village in the municipality of Skenderaj in central Kosovo.
|
E1185315
|
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: Llausha | Statement: [Skenderaj, hasSettlement, Llausha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llausha Context triple: [Skenderaj, hasSettlement, Llausha]
-
A.
Lizarra
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
-
B.
Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
-
C.
Llaillay
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
D.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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: Llausha Triple: [Skenderaj, hasSettlement, Llausha]
Generated description
Llausha is a village in the municipality of Skenderaj in central Kosovo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llausha Target entity description: Llausha is a village in the municipality of Skenderaj in central Kosovo.
-
A.
Lizarra
Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
-
B.
Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
-
C.
Llaillay
Llaillay is a Chilean town and commune in the Valparaíso Region, known for its agricultural activity and location in the Aconcagua Valley.
-
D.
Arnalta
Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15685b28c8190927b704fef14a159 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5adcde88190ae2a845aaa9d31ac |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6c4a66c8190bba70da71c9ec576 |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb7a373d88190a2fcf75022f3e161 |
completed | May 9, 2026, 10:39 p.m. |
Created at: April 10, 2026, 4:52 a.m.