Triple
T6776684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korandje language |
E155575
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object |
Tabelbala
Tabelbala is a remote oasis town in southwestern Algeria notable for its small community of Korandje language speakers.
|
E618289
|
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: Tabelbala | Statement: [Korandje language, spokenIn, Tabelbala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabelbala Context triple: [Korandje language, spokenIn, Tabelbala]
-
A.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
B.
Palla
Palla is a Portuguese surname most notably associated with journalist and feminist activist Maria Antónia Palla.
-
C.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
-
D.
Balla
Balla is an Italian surname most notably associated with Giacomo Balla, a leading painter of the Futurist movement.
-
E.
Santebal
Santebal was the notorious secret police and internal security organization of the Khmer Rouge regime in Democratic Kampuchea, responsible for widespread surveillance, torture, and executions.
- 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: Tabelbala Triple: [Korandje language, spokenIn, Tabelbala]
Generated description
Tabelbala is a remote oasis town in southwestern Algeria notable for its small community of Korandje language speakers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabelbala Target entity description: Tabelbala is a remote oasis town in southwestern Algeria notable for its small community of Korandje language speakers.
-
A.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
B.
Palla
Palla is a Portuguese surname most notably associated with journalist and feminist activist Maria Antónia Palla.
-
C.
Tababela
Tababela is a rural parish in the Quito Metropolitan District of Ecuador, known for hosting the city’s main air gateway, Mariscal Sucre International Airport.
-
D.
Balla
Balla is an Italian surname most notably associated with Giacomo Balla, a leading painter of the Futurist movement.
-
E.
Santebal
Santebal was the notorious secret police and internal security organization of the Khmer Rouge regime in Democratic Kampuchea, responsible for widespread surveillance, torture, and executions.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712cc9ff08190bb7ec0bf4cc4db01 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c71396f1f88190b3316e694424a2fe |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71466728c81909a24174a7938b43a |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:13 p.m.