Triple
T20030060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mollerussa |
E495096
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Golmés
Golmés is a small municipality in the comarca of Pla d'Urgell in the province of Lleida, Catalonia, Spain.
|
E1409084
|
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: Golmés | Statement: [Mollerussa, hasNearbyTown, Golmés]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Golmés Context triple: [Mollerussa, hasNearbyTown, Golmés]
-
A.
Gallandau
Gallandau is the German name for the town of Galanta in southwestern Slovakia.
-
B.
Gossa
Gossa is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes and small communities within Aukra Municipality.
-
C.
Novegro
Novegro is a frazione (district) of the municipality of Segrate in the Metropolitan City of Milan, known for its exhibition center and proximity to Linate Airport.
-
D.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
E.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
- 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: Golmés Triple: [Mollerussa, hasNearbyTown, Golmés]
Generated description
Golmés is a small municipality in the comarca of Pla d'Urgell in the province of Lleida, Catalonia, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Golmés Target entity description: Golmés is a small municipality in the comarca of Pla d'Urgell in the province of Lleida, Catalonia, Spain.
-
A.
Gallandau
Gallandau is the German name for the town of Galanta in southwestern Slovakia.
-
B.
Gossa
Gossa is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes and small communities within Aukra Municipality.
-
C.
Novegro
Novegro is a frazione (district) of the municipality of Segrate in the Metropolitan City of Milan, known for its exhibition center and proximity to Linate Airport.
-
D.
Huelén
Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
-
E.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66291a00c8190b0b895909f32d623 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0815faba4c81908e8f3f97ef72dea2 |
completed | May 16, 2026, 7 a.m. |
| NEDg | Description generation | batch_6a08174e741081908917c18b62547842 |
completed | May 16, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0817ada884819087624c3788d0c6e0 |
completed | May 16, 2026, 7:07 a.m. |
Created at: April 11, 2026, 3:36 p.m.