Triple
T5566898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Georgia languages |
E145901
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ghanongga language
The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
|
E533111
|
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: Ghanongga language | Statement: [New Georgia languages, hasMember, Ghanongga language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghanongga language Context triple: [New Georgia languages, hasMember, Ghanongga language]
-
A.
Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
B.
Blablanga language
The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
-
C.
Nganasan language
The Nganasan language is a critically endangered Samoyedic language spoken by the Nganasan people of the Taymyr Peninsula in northern Siberia.
-
D.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
-
E.
Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
- 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: Ghanongga language Triple: [New Georgia languages, hasMember, Ghanongga language]
Generated description
The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ghanongga language Target entity description: The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
-
A.
Gonja language
The Gonja language is a Gur language spoken primarily by the Gonja people in northern Ghana.
-
B.
Blablanga language
The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
-
C.
Nganasan language
The Nganasan language is a critically endangered Samoyedic language spoken by the Nganasan people of the Taymyr Peninsula in northern Siberia.
-
D.
Gurma language
Gurma language is a Gur language spoken primarily in parts of Burkina Faso, Togo, Benin, and neighboring West African countries.
-
E.
Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0203631c881908978d51e99155014 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028485ba081908565f7f852278cfc |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0384874d0819082ba855bfe6f2ba4 |
completed | March 22, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e5dccc8190a5e1ec45712c00a3 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:36 p.m.