Triple
T11302689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voltaic languages |
E267634
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object |
Senari
Senari is a Gur (Voltaic) language spoken primarily in Burkina Faso by the Senufo-related Senari people.
|
E917985
|
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: Senari | Statement: [Voltaic languages, hasMemberLanguage, Senari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senari Context triple: [Voltaic languages, hasMemberLanguage, Senari]
-
A.
Seirah
Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
-
B.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
C.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
-
D.
Seria
Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
-
E.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
- 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: Senari Triple: [Voltaic languages, hasMemberLanguage, Senari]
Generated description
Senari is a Gur (Voltaic) language spoken primarily in Burkina Faso by the Senufo-related Senari people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senari Target entity description: Senari is a Gur (Voltaic) language spoken primarily in Burkina Faso by the Senufo-related Senari people.
-
A.
Seirah
Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
-
B.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
-
C.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
-
D.
Seria
Seria is an oil-producing coastal town in Brunei known as one of the country’s main petroleum hubs and the site of key historical events.
-
E.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516ac8dec81909c9c1eece372189e |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.