Triple
T222925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sranan Tongo |
E4255
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Sranan
Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
|
E28672
|
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: Sranan | Statement: [Sranan Tongo, hasAlternativeName, Sranan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sranan Context triple: [Sranan Tongo, hasAlternativeName, Sranan]
-
A.
Mandinka
Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
-
E.
Valais
Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
- 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: Sranan Triple: [Sranan Tongo, hasAlternativeName, Sranan]
Generated description
Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sranan Target entity description: Sranan is an English- and Dutch-influenced creole language spoken primarily in Suriname.
-
A.
Mandinka
Mandinka is a major Mande language spoken primarily in The Gambia, Senegal, Guinea-Bissau, and neighboring West African countries by the Mandinka people.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
-
E.
Valais
Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3527641a081908fbcd0b16fc1c19e |
completed | Feb. 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69a3559bd7808190b5676537827aba91 |
completed | Feb. 28, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a356327bd881909b3e9895a3b81c9e |
completed | Feb. 28, 2026, 8:55 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.