Triple
T12427802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vielha e Mijaran |
E296942
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Mont
Mont is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
|
E983894
|
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: Mont | Statement: [Vielha e Mijaran, hasSettlement, Mont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mont Context triple: [Vielha e Mijaran, hasSettlement, Mont]
-
A.
Mont
Mont is a family surname associated with the character Michael Mont.
-
B.
Columbia
Columbia is an outdoor apparel and footwear brand known for its durable, weather-resistant gear for activities like hiking, skiing, and camping.
-
C.
Columbia
Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
-
D.
Columbia
Columbia is the capital city of South Carolina, known for hosting the University of South Carolina and its prominent Gamecocks athletic programs.
-
E.
Columbia
Columbia is a small unincorporated community located in the state of Iowa in the United States.
- 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: Mont Triple: [Vielha e Mijaran, hasSettlement, Mont]
Generated description
Mont 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: Mont Target entity description: Mont is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
-
A.
Mont
Mont is a family surname associated with the character Michael Mont.
-
B.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
C.
Columbia
Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
-
D.
Columbia
Columbia is a major American record label known for signing and releasing music by many influential artists across genres.
-
E.
Columbia
Columbia is a small unincorporated community located in the state of Iowa in the United States.
- 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_69f63f049c9c81908d870b0ee05f2d7e |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640b513488190893359e9964dbe98 |
completed | May 2, 2026, 6:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:55 p.m.