Triple
T4400691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corvo Island |
E93607
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Estreitinho
Estreitinho is the highest peak on Corvo Island in Portugal’s Azores archipelago.
|
E436836
|
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: Estreitinho | Statement: [Corvo Island, highestPoint, Estreitinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estreitinho Context triple: [Corvo Island, highestPoint, Estreitinho]
-
A.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
B.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
C.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
D.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
-
E.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
- 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: Estreitinho Triple: [Corvo Island, highestPoint, Estreitinho]
Generated description
Estreitinho is the highest peak on Corvo Island in Portugal’s Azores archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Estreitinho Target entity description: Estreitinho is the highest peak on Corvo Island in Portugal’s Azores archipelago.
-
A.
Trancoso
Trancoso is a historic Portuguese town in the Centro Region, known for its medieval walls, castle, and well-preserved old quarter.
-
B.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
C.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
D.
La Barra
La Barra is a popular seaside resort town in Uruguay known for its beaches, nightlife, and proximity to Punta del Este.
-
E.
Santa Cruz do Sul
Santa Cruz do Sul is a city in southern Brazil known for its strong German-Brazilian cultural heritage, architecture, and traditions.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5f788d081909406a938337bd05a |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f674c94c81908327336dd4380d2e |
completed | March 14, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f719d008819090a35e3597a0089f |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:28 p.m.