Triple
T2571469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afro-Arubans |
E57672
|
entity |
| Predicate | populationDistribution |
P560
|
FINISHED |
| Object |
San Nicolas
San Nicolas is a town in Aruba known for its significant Afro-Aruban community and cultural influence.
|
E280521
|
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: San Nicolas | Statement: [Afro-Arubans, populationDistribution, San Nicolas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Nicolas Context triple: [Afro-Arubans, populationDistribution, San Nicolas]
-
A.
San Nicolas
San Nicolas is a historic riverside district of Manila, Philippines, known for its old commercial houses, narrow streets, and proximity to the walled city of Intramuros.
-
B.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
C.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
-
D.
San Blas
San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
-
E.
Puerto Luisa
Puerto Luisa is the former name of Puerto Williams, a small Chilean town on Navarino Island often cited as one of the southernmost settlements in the world.
- 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: San Nicolas Triple: [Afro-Arubans, populationDistribution, San Nicolas]
Generated description
San Nicolas is a town in Aruba known for its significant Afro-Aruban community and cultural influence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Nicolas Target entity description: San Nicolas is a town in Aruba known for its significant Afro-Aruban community and cultural influence.
-
A.
San Nicolas
San Nicolas is a historic riverside district of Manila, Philippines, known for its old commercial houses, narrow streets, and proximity to the walled city of Intramuros.
-
B.
Santa Lucía
Santa Lucía is a town and canton in coastal Ecuador known for its agricultural activities within the Guayas Province.
-
C.
San Miguel
San Miguel is an active stratovolcano in eastern El Salvador, known for its frequent eruptions and prominent conical shape within the Central American volcanic chain.
-
D.
San Blas
San Blas is a coastal town and port in the Mexican state of Nayarit, known for its beaches, fishing, and nearby mangrove and bird-filled wetlands.
-
E.
Puerto Luisa
Puerto Luisa is the former name of Puerto Williams, a small Chilean town on Navarino Island often cited as one of the southernmost settlements in the world.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd383dce881909411a38c6d37bc3a |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af657028f08190b461442bfc7489e1 |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af6de00ff48190ba9198e91276ec3d |
completed | March 10, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af6f55bbb481908f75d923caeb8a1c |
completed | March 10, 2026, 1:09 a.m. |
Created at: March 6, 2026, 9:48 p.m.