Triple
T8573580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalmedina River |
E202988
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Arroyo Humaina
Arroyo Humaina is a small stream in the province of Málaga, Spain, that feeds into the Guadalmedina River within the Andalusian landscape.
|
E748350
|
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: Arroyo Humaina | Statement: [Guadalmedina River, hasTributary, Arroyo Humaina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arroyo Humaina Context triple: [Guadalmedina River, hasTributary, Arroyo Humaina]
-
A.
Arroyo
Arroyo is a Spanish-origin surname commonly found in Spanish-speaking countries and among Hispanic communities worldwide.
-
B.
Arroyo Naranjo
Arroyo Naranjo is a municipality in Cuba known as one of the administrative divisions of the Havana metropolitan area.
-
C.
Arroyo Alamar
Arroyo Alamar is a stream in Tijuana, Baja California, that flows through urban and industrial areas and contributes to the region’s hydrology and cross-border environmental concerns.
-
D.
Río Seco
Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
-
E.
Río Frío
Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
- 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: Arroyo Humaina Triple: [Guadalmedina River, hasTributary, Arroyo Humaina]
Generated description
Arroyo Humaina is a small stream in the province of Málaga, Spain, that feeds into the Guadalmedina River within the Andalusian landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arroyo Humaina Target entity description: Arroyo Humaina is a small stream in the province of Málaga, Spain, that feeds into the Guadalmedina River within the Andalusian landscape.
-
A.
Arroyo
Arroyo is a Spanish-origin surname commonly found in Spanish-speaking countries and among Hispanic communities worldwide.
-
B.
Arroyo Naranjo
Arroyo Naranjo is a municipality in Cuba known as one of the administrative divisions of the Havana metropolitan area.
-
C.
Arroyo Alamar
Arroyo Alamar is a stream in Tijuana, Baja California, that flows through urban and industrial areas and contributes to the region’s hydrology and cross-border environmental concerns.
-
D.
Río Seco
Río Seco is a coastal river in the municipality of Almuñécar in Spain’s Granada province, flowing through the town before reaching the Mediterranean Sea.
-
E.
Río Frío
Río Frío is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea458c1081908e79bee2cbf97207 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc72d8c08190b5e063e6de2bbdd2 |
completed | April 2, 2026, 8:07 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 6:21 p.m.