Triple
T8275769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willemstad |
E193542
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Punda
Punda is the historic waterfront district and main commercial center of Willemstad, Curaçao, known for its colorful colonial architecture and shopping streets.
|
E726370
|
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: Punda | Statement: [Willemstad, hasSubdivision, Punda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punda Context triple: [Willemstad, hasSubdivision, Punda]
-
A.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
B.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
-
C.
Tupiza
Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
-
D.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
E.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas 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: Punda Triple: [Willemstad, hasSubdivision, Punda]
Generated description
Punda is the historic waterfront district and main commercial center of Willemstad, Curaçao, known for its colorful colonial architecture and shopping streets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Punda Target entity description: Punda is the historic waterfront district and main commercial center of Willemstad, Curaçao, known for its colorful colonial architecture and shopping streets.
-
A.
Guayaramerín
Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
-
B.
Sarraméa
Sarraméa is a small inland commune in New Caledonia known for its lush mountainous landscapes and eco-tourism activities.
-
C.
Tupiza
Tupiza is a small historic town in southern Bolivia known for its dramatic red-rock canyons and as a gateway to Andean landscapes and mining regions.
-
D.
Guará
Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
-
E.
Yaguachi
Yaguachi is a town and canton in coastal Ecuador known for its agricultural economy and location within Guayas 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9510a74c8190a8f8c9c7e430b5ae |
completed | April 1, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69cdab59ac188190ac017651b5a9a04a |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2ae376c8190b3918ba6b269dba9 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:51 p.m.