Triple
T23096347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Grazalema |
E575899
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Benaocaz
Benaocaz is a small, historic whitewashed village in Andalusia, southern Spain, known for its scenic mountain setting and well-preserved medieval architecture.
|
E1570562
|
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: Benaocaz | Statement: [Sierra de Grazalema, contains, Benaocaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benaocaz Context triple: [Sierra de Grazalema, contains, Benaocaz]
-
A.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
B.
Carabajal
Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
-
C.
Briceño
Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
-
D.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
E.
Valladares
Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
- 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: Benaocaz Triple: [Sierra de Grazalema, contains, Benaocaz]
Generated description
Benaocaz is a small, historic whitewashed village in Andalusia, southern Spain, known for its scenic mountain setting and well-preserved medieval architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benaocaz Target entity description: Benaocaz is a small, historic whitewashed village in Andalusia, southern Spain, known for its scenic mountain setting and well-preserved medieval architecture.
-
A.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
B.
Carabajal
Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
-
C.
Briceño
Briceño is a municipality in Colombia’s Cundinamarca Department, located within the Sabana Centro Province near the Bogotá metropolitan area.
-
D.
Sarroch
Sarroch is a small coastal municipality in southern Sardinia, Italy, known for its industrial facilities and proximity to the city of Cagliari.
-
E.
Valladares
Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de522e48190a37e6c2fda2de465 |
completed | April 29, 2026, 4:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15bb9ed48190987f072de415cf7d |
completed | May 19, 2026, 7:48 a.m. |
| NEDg | Description generation | batch_6a0c19727a24819094a8a5257b1ce69e |
completed | May 19, 2026, 8:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c1a0a6974819083858e111c093e11 |
completed | May 19, 2026, 8:06 a.m. |
Created at: April 17, 2026, 3:57 p.m.