Triple
T6717904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Nusa Tenggara |
E153318
|
entity |
| Predicate | containsIsland |
P970
|
FINISHED |
| Object |
Rote
Rote is an Indonesian island in the southernmost part of the country, known for its traditional culture, distinctive sasando music instrument, and popular surf spots.
|
E614493
|
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: Rote | Statement: [East Nusa Tenggara, containsIsland, Rote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rote Context triple: [East Nusa Tenggara, containsIsland, Rote]
-
A.
Rote
Rote is a surname most notably associated with American football player Kyle Rote.
-
B.
Rotse
Rotse is an alternative name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and surrounding regions.
-
C.
Kızılay
Kızılay is a central district and major commercial hub in Ankara, Turkey, known for its busy squares, offices, shops, and public transportation connections.
-
D.
Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
-
E.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
- 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: Rote Triple: [East Nusa Tenggara, containsIsland, Rote]
Generated description
Rote is an Indonesian island in the southernmost part of the country, known for its traditional culture, distinctive sasando music instrument, and popular surf spots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rote Target entity description: Rote is an Indonesian island in the southernmost part of the country, known for its traditional culture, distinctive sasando music instrument, and popular surf spots.
-
A.
Rote
Rote is a surname most notably associated with American football player Kyle Rote.
-
B.
Rotse
Rotse is an alternative name for the Lozi people, a Bantu ethnic group primarily inhabiting western Zambia and surrounding regions.
-
C.
Kızılay
Kızılay is a central district and major commercial hub in Ankara, Turkey, known for its busy squares, offices, shops, and public transportation connections.
-
D.
Rusk
Rusk is a surname most notably associated with Dean Rusk, who served as United States Secretary of State during the Kennedy and Johnson administrations.
-
E.
Riasti
Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d12765a48190b485176dc2ffa0fa |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7009b9b64819095ae1a65cd72c374 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c705220cb0819081a70175c150d138 |
completed | March 27, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c705db3098819083ce9a93e429b758 |
completed | March 27, 2026, 10:34 p.m. |
Created at: March 27, 2026, 2:07 p.m.