Triple
T3271047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ponta Delgada |
E68647
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Ginetes
Ginetes is a civil parish on the island of São Miguel in the Azores, Portugal, known for its rural landscape and coastal scenery.
|
E342605
|
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: Ginetes | Statement: [Ponta Delgada, hasParish, Ginetes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginetes Context triple: [Ponta Delgada, hasParish, Ginetes]
-
A.
Helen Wheels
"Helen Wheels" is a song by the British rock band Wings, released in 1973 and associated with Paul McCartney’s post-Beatles career.
-
B.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
C.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
D.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
E.
Gouvinhas
Gouvinhas is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
- 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: Ginetes Triple: [Ponta Delgada, hasParish, Ginetes]
Generated description
Ginetes is a civil parish on the island of São Miguel in the Azores, Portugal, known for its rural landscape and coastal scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginetes Target entity description: Ginetes is a civil parish on the island of São Miguel in the Azores, Portugal, known for its rural landscape and coastal scenery.
-
A.
Helen Wheels
"Helen Wheels" is a song by the British rock band Wings, released in 1973 and associated with Paul McCartney’s post-Beatles career.
-
B.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
C.
Flivver
Flivver is a colloquial nickname for the Ford Model T, the iconic early 20th-century mass-produced automobile that revolutionized personal transportation.
-
D.
Scooter
Scooter is a bespectacled, eager-to-please Muppet who often serves as the backstage gofer and stage manager for The Muppet Show.
-
E.
Gouvinhas
Gouvinhas is a civil parish in the municipality of Sabrosa, located in Portugal’s Douro wine region.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c47e908190b5be5b33da358ade |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.