Triple
T10961861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Cazorla |
E258993
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object |
Quesada
Quesada is a town in the province of Jaén in southern Spain, known for its scenic setting near the Sierra de Cazorla mountain range and its olive-growing landscape.
|
E896337
|
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: Quesada | Statement: [Sierra de Cazorla, nearbySettlement, Quesada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quesada Context triple: [Sierra de Cazorla, nearbySettlement, Quesada]
-
A.
Pedernales
Pedernales is a coastal town in northwestern Ecuador known for its beaches and fishing activities.
-
B.
Moreno
Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
-
C.
Moreno
Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
-
D.
Jaramillo
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
-
E.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
- 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: Quesada Triple: [Sierra de Cazorla, nearbySettlement, Quesada]
Generated description
Quesada is a town in the province of Jaén in southern Spain, known for its scenic setting near the Sierra de Cazorla mountain range and its olive-growing landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quesada Target entity description: Quesada is a town in the province of Jaén in southern Spain, known for its scenic setting near the Sierra de Cazorla mountain range and its olive-growing landscape.
-
A.
Pedernales
Pedernales is a coastal town in northwestern Ecuador known for its beaches and fishing activities.
-
B.
Moreno
Moreno is a municipality in the state of Pernambuco, Brazil, situated in the metropolitan region near the city of Jaboatão dos Guararapes.
-
C.
Moreno
Moreno is a common Spanish surname borne by numerous notable individuals across politics, sports, arts, and business in the Spanish-speaking world and beyond.
-
D.
Jaramillo
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
-
E.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7712bf65c8190b847784d885876fd |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d761d3c48190af8e0aedf96ee99f |
completed | April 18, 2026, 12:59 a.m. |
| NEDg | Description generation | batch_69e2fab58f588190ae2d33f32e71333b |
completed | April 18, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e317809c0881909e793db965194014 |
completed | April 18, 2026, 5:32 a.m. |
Created at: April 8, 2026, 9:23 p.m.