Triple
T145538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Mariana Islands |
E2944
|
entity |
| Predicate | majorIsland |
P756
|
FINISHED |
| Object |
Rota
Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
|
E19624
|
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: Rota | Statement: [Northern Mariana Islands, majorIsland, Rota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rota Context triple: [Northern Mariana Islands, majorIsland, Rota]
-
A.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
B.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
C.
Algarve line
The Algarve line is a major railway route in southern Portugal that connects the region’s coastal towns and cities along the Algarve.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
- 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: Rota Triple: [Northern Mariana Islands, majorIsland, Rota]
Generated description
Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rota Target entity description: Rota is one of the principal islands of the Northern Mariana Islands, known for its rugged limestone cliffs, clear waters, and relatively undeveloped, rural character.
-
A.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
B.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
-
C.
Algarve line
The Algarve line is a major railway route in southern Portugal that connects the region’s coastal towns and cities along the Algarve.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Kutaisi
Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257ea7eac8190884a53453a9e0dd6 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d4c838908190ae67f4e58fd700b0 |
completed | Feb. 28, 2026, 11:43 a.m. |
| NEDg | Description generation | batch_69a2d53067dc8190a184441df46426d6 |
completed | Feb. 28, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d598733c8190aba1dc04f737218f |
completed | Feb. 28, 2026, 11:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.