Triple
T8851078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alajeró |
E210638
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Arguayoda
Arguayoda is a small rural settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
|
E763503
|
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: Arguayoda | Statement: [Alajeró, contains, Arguayoda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arguayoda Context triple: [Alajeró, contains, Arguayoda]
-
A.
Argen
Argen is a river in southern Germany that flows through the Allgäu region before emptying into Lake Constance.
-
B.
Argentina
Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
-
C.
Uruguay
Uruguay is a small South American country known for its stable democracy, high standard of living, and Atlantic coastline between Brazil and Argentina.
-
D.
Argentaria
Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
-
E.
PARAGUAYA
PARAGUAYA is the radio callsign used by LATAM Airlines Paraguay for air traffic control and communication purposes.
- 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: Arguayoda Triple: [Alajeró, contains, Arguayoda]
Generated description
Arguayoda is a small rural settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arguayoda Target entity description: Arguayoda is a small rural settlement located within the municipality of Alajeró on the island of La Gomera in Spain’s Canary Islands.
-
A.
Argen
Argen is a river in southern Germany that flows through the Allgäu region before emptying into Lake Constance.
-
B.
Argentina
Argentina is a large South American nation known for its diverse landscapes from the Andes to the Pampas, its vibrant culture including tango and football, and its capital city Buenos Aires.
-
C.
Uruguay
Uruguay is a small South American country known for its stable democracy, high standard of living, and Atlantic coastline between Brazil and Argentina.
-
D.
Argentaria
Argentaria was a Spanish state-owned banking group that later merged into what is now Banco Bilbao Vizcaya Argentaria (BBVA).
-
E.
PARAGUAYA
PARAGUAYA is the radio callsign used by LATAM Airlines Paraguay for air traffic control and communication purposes.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c2300c819097b1ca6ebe2f749a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:49 p.m.