Triple
T20096237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valcheta Department |
E496407
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Aguada Cecilio
Aguada Cecilio is a small rural settlement in the Valcheta Department of Río Negro Province in Argentina.
|
E1412020
|
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: Aguada Cecilio | Statement: [Valcheta Department, hasSettlement, Aguada Cecilio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguada Cecilio Context triple: [Valcheta Department, hasSettlement, Aguada Cecilio]
-
A.
Aguada
Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
-
B.
San Juan Guichicovi
San Juan Guichicovi is a municipality in the state of Oaxaca, Mexico, known for its indigenous Mixe population and culture.
-
C.
Nahualá
Nahualá is a predominantly Kʼicheʼ Maya town and municipality in Guatemala known for its strong indigenous traditions and highland agricultural economy.
-
D.
Aguadulce
Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
-
E.
Aguadulce
Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
- 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: Aguada Cecilio Triple: [Valcheta Department, hasSettlement, Aguada Cecilio]
Generated description
Aguada Cecilio is a small rural settlement in the Valcheta Department of Río Negro Province in Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aguada Cecilio Target entity description: Aguada Cecilio is a small rural settlement in the Valcheta Department of Río Negro Province in Argentina.
-
A.
Aguada
Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
-
B.
San Juan Guichicovi
San Juan Guichicovi is a municipality in the state of Oaxaca, Mexico, known for its indigenous Mixe population and culture.
-
C.
Nahualá
Nahualá is a predominantly Kʼicheʼ Maya town and municipality in Guatemala known for its strong indigenous traditions and highland agricultural economy.
-
D.
Aguadulce
Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
-
E.
Aguadulce
Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08270cb3f48190b57901cc591cca63 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0828850638819091e0b27899ac8e72 |
completed | May 16, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08291b29408190ba4eb008e0a34fe6 |
completed | May 16, 2026, 8:21 a.m. |
Created at: April 11, 2026, 11:25 p.m.