Triple
T12427810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vielha e Mijaran |
E296942
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Montcorbau
Montcorbau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
|
E981980
|
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: Montcorbau | Statement: [Vielha e Mijaran, hasSettlement, Montcorbau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montcorbau Context triple: [Vielha e Mijaran, hasSettlement, Montcorbau]
-
A.
Güell
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
-
B.
Péret
Péret is a French surname most notably borne by Benjamin Péret, a prominent Surrealist poet and writer.
-
C.
Gaudi
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
-
D.
Pere Domènech i Roura
Pere Domènech i Roura was a Catalan architect and politician associated with the Modernisme movement, known for continuing and contributing to major works such as the Hospital de Sant Pau in Barcelona.
-
E.
Count of Güell
Count of Güell is a Spanish noble title best known for its association with industrialist Eusebi Güell, the patron of architect Antoni Gaudí and namesake of several of Barcelona’s most famous modernist landmarks.
- 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: Montcorbau Triple: [Vielha e Mijaran, hasSettlement, Montcorbau]
Generated description
Montcorbau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montcorbau Target entity description: Montcorbau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
-
A.
Güell
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
-
B.
Péret
Péret is a French surname most notably borne by Benjamin Péret, a prominent Surrealist poet and writer.
-
C.
Gaudi
Gaudi is Habana Labs’ AI training processor designed to accelerate deep learning workloads with high performance and efficiency.
-
D.
Pere Domènech i Roura
Pere Domènech i Roura was a Catalan architect and politician associated with the Modernisme movement, known for continuing and contributing to major works such as the Hospital de Sant Pau in Barcelona.
-
E.
Count of Güell
Count of Güell is a Spanish noble title best known for its association with industrialist Eusebi Güell, the patron of architect Antoni Gaudí and namesake of several of Barcelona’s most famous modernist landmarks.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63499061881908d25af7c3474f774 |
completed | May 2, 2026, 5:30 p.m. |
| NEDg | Description generation | batch_69f636cf7d808190bf3c1c84bdaf414e |
completed | May 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6380223d08190959e524ad146d0e0 |
completed | May 2, 2026, 5:44 p.m. |
Created at: April 8, 2026, 9:55 p.m.