Triple
T9407766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veleta |
E226628
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Monachil
Monachil is a municipality in the province of Granada, Spain, known as a gateway to the Sierra Nevada mountains and nearby ski and hiking areas.
|
E797289
|
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: Monachil | Statement: [Veleta, near, Monachil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monachil Context triple: [Veleta, near, Monachil]
-
A.
Guanche
Guanche is an extinct Berber-related language once spoken by the indigenous Guanche people of the Canary Islands before Spanish colonization.
-
B.
Nerja
Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
-
C.
Tarabya
Tarabya is a coastal neighborhood on the European side of Istanbul, known for its scenic Bosphorus shoreline, seafood restaurants, and historic waterfront mansions.
-
D.
Torrecerredo
Torrecerredo is the highest peak in Spain’s Picos de Europa mountain range, renowned among climbers and hikers for its rugged limestone summit and panoramic views.
-
E.
Pilar de la Horadada
Pilar de la Horadada is a coastal municipality in Spain’s Alicante province, known for its Mediterranean beaches and proximity to the Murcia border.
- 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: Monachil Triple: [Veleta, near, Monachil]
Generated description
Monachil is a municipality in the province of Granada, Spain, known as a gateway to the Sierra Nevada mountains and nearby ski and hiking areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monachil Target entity description: Monachil is a municipality in the province of Granada, Spain, known as a gateway to the Sierra Nevada mountains and nearby ski and hiking areas.
-
A.
Guanche
Guanche is an extinct Berber-related language once spoken by the indigenous Guanche people of the Canary Islands before Spanish colonization.
-
B.
Nerja
Nerja is a coastal town on Spain’s Costa del Sol, known for its beaches, dramatic cliffs, and the famous Nerja Caves.
-
C.
Tarabya
Tarabya is a coastal neighborhood on the European side of Istanbul, known for its scenic Bosphorus shoreline, seafood restaurants, and historic waterfront mansions.
-
D.
Torrecerredo
Torrecerredo is the highest peak in Spain’s Picos de Europa mountain range, renowned among climbers and hikers for its rugged limestone summit and panoramic views.
-
E.
Pilar de la Horadada
Pilar de la Horadada is a coastal municipality in Spain’s Alicante province, known for its Mediterranean beaches and proximity to the Murcia border.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5252b3fc8190b0808a10987728c8 |
completed | April 1, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107a0bc9c819089f7c422b4222f8e |
completed | April 4, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_69d1082f41b48190b8588bb986028f59 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108bab8c881909748ffbb4b23f4ba |
completed | April 4, 2026, 12:48 p.m. |
Created at: March 30, 2026, 7:47 p.m.