Triple
T3776108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seville Airport |
E83311
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
La Rinconada
La Rinconada is a municipality in the province of Seville, Spain, situated just north of the city of Seville in the Andalusia region.
|
E386513
|
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: La Rinconada | Statement: [Seville Airport, locatedNear, La Rinconada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Rinconada Context triple: [Seville Airport, locatedNear, La Rinconada]
-
A.
Illapel
Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Lomas de Sargentillo
Lomas de Sargentillo is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- 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: La Rinconada Triple: [Seville Airport, locatedNear, La Rinconada]
Generated description
La Rinconada is a municipality in the province of Seville, Spain, situated just north of the city of Seville in the Andalusia region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Rinconada Target entity description: La Rinconada is a municipality in the province of Seville, Spain, situated just north of the city of Seville in the Andalusia region.
-
A.
Illapel
Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
-
B.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
C.
El Rosal
El Rosal is a municipality in the Cundinamarca Department of Colombia, located in the Bogotá savanna near the capital city.
-
D.
Lomas de Sargentillo
Lomas de Sargentillo is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5be3c48190a72e840d8214bb74 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e53209888190823412fabacbc914 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e60c23608190977198b6344ff09d |
completed | March 14, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e686bf2c8190aac01d6c1014c1d4 |
completed | March 14, 2026, 4:39 a.m. |
Created at: March 8, 2026, 3:36 p.m.