Triple
T6690677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabana |
E152617
|
entity |
| Predicate | hasNeighboringLanguage |
P16383
|
FINISHED |
| Object | Blablanga |
E147941
|
NE FINISHED |
How this triple was built (2 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: Blablanga | Statement: [Zabana, hasNeighboringLanguage, Blablanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blablanga Context triple: [Zabana, hasNeighboringLanguage, Blablanga]
-
A.
Blablanga
chosen
Blablanga is an Austronesian language spoken in the Solomon Islands, belonging to the Meso-Melanesian subgroup.
-
B.
Blanga
Blanga is an Austronesian language spoken primarily on the island of Santa Isabel in the Solomon Islands.
-
C.
Mbalanhu
Mbalanhu is a Bantu language variety spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
-
D.
Babbalanja
Babbalanja is a philosophical and skeptical character in Herman Melville’s novel "Mardi," known for his reflective monologues and probing critiques of religion, politics, and society.
-
E.
Ikalanga
Ikalanga is a Bantu language spoken primarily by the Kalanga people in Botswana and southwestern Zimbabwe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b15276208190b4c0e90ca337d2b4 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b519148190a810d0eee7cda734 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:04 p.m.