Triple
T12427847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naut Aran |
E296943
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Montgarri
Montgarri is a small, remote mountain village and former monastery site in the Val d'Aran of the Catalan Pyrenees, known for its scenic alpine setting and pilgrimage church.
|
E981982
|
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: Montgarri | Statement: [Naut Aran, contains, Montgarri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montgarri Context triple: [Naut Aran, contains, Montgarri]
-
A.
Montgat
Montgat is a small coastal municipality in the province of Barcelona, Catalonia, known for its beaches and proximity to the city of Barcelona.
-
B.
Landore
Landore is a district of Swansea in South Wales, known historically for its industrial heritage and proximity to the River Tawe.
-
C.
Morgat
Morgat is a coastal village and seaside resort on the Crozon Peninsula in Brittany, France, known for its beaches and dramatic cliffs.
-
D.
Montgiscard
Montgiscard is a small commune in southwestern France’s Haute-Garonne department, situated near the Lac de la Ganguise and within the wider Toulouse metropolitan area.
-
E.
Millbeck
Millbeck is a small settlement in England’s Lake District, known as a starting point for walks up the mountain Skiddaw.
- 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: Montgarri Triple: [Naut Aran, contains, Montgarri]
Generated description
Montgarri is a small, remote mountain village and former monastery site in the Val d'Aran of the Catalan Pyrenees, known for its scenic alpine setting and pilgrimage church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montgarri Target entity description: Montgarri is a small, remote mountain village and former monastery site in the Val d'Aran of the Catalan Pyrenees, known for its scenic alpine setting and pilgrimage church.
-
A.
Montgat
Montgat is a small coastal municipality in the province of Barcelona, Catalonia, known for its beaches and proximity to the city of Barcelona.
-
B.
Landore
Landore is a district of Swansea in South Wales, known historically for its industrial heritage and proximity to the River Tawe.
-
C.
Morgat
Morgat is a coastal village and seaside resort on the Crozon Peninsula in Brittany, France, known for its beaches and dramatic cliffs.
-
D.
Montgiscard
Montgiscard is a small commune in southwestern France’s Haute-Garonne department, situated near the Lac de la Ganguise and within the wider Toulouse metropolitan area.
-
E.
Millbeck
Millbeck is a small settlement in England’s Lake District, known as a starting point for walks up the mountain Skiddaw.
- 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.