Triple
T7197744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tontemboan language |
E168657
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Tontemboan
Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
|
E648247
|
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: Tontemboan | Statement: [Tontemboan language, hasAlternativeName, Tontemboan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tontemboan Context triple: [Tontemboan language, hasAlternativeName, Tontemboan]
-
A.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
B.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
C.
Rumuokoro
Rumuokoro is a bustling urban town and major commercial transport hub in Obio-Akpor, within the Port Harcourt metropolitan area of Rivers State, Nigeria.
-
D.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
E.
Abamakoro
Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
- 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: Tontemboan Triple: [Tontemboan language, hasAlternativeName, Tontemboan]
Generated description
Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tontemboan Target entity description: Tontemboan is an Austronesian language spoken by the Tontemboan people in North Sulawesi, Indonesia.
-
A.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
B.
Dutsin-Ma
Dutsin-Ma is a town in northern Nigeria known for hosting the Federal University Dutsin-Ma and serving as an important local commercial and educational center.
-
C.
Rumuokoro
Rumuokoro is a bustling urban town and major commercial transport hub in Obio-Akpor, within the Port Harcourt metropolitan area of Rivers State, Nigeria.
-
D.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
-
E.
Abamakoro
Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e92a5d288190955f703470e75bf3 |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfa6be648190950f682eaaeb1a18 |
completed | March 28, 2026, 11:46 a.m. |
| NEDg | Description generation | batch_69c7c01e84388190858d34a6a047bf63 |
completed | March 28, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0a9eb0c819080cda73d67e84fe9 |
completed | March 28, 2026, 11:51 a.m. |
Created at: March 27, 2026, 2:52 p.m.