Triple
T5625863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabana language |
E147715
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Zabana |
E152617
|
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: Zabana | Statement: [Zabana language, hasAlternativeName, Zabana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabana Context triple: [Zabana language, hasAlternativeName, Zabana]
-
A.
Zabana
chosen
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
-
B.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
C.
Laabi
Laabi is a small village located in Harku Parish in northern Estonia.
-
D.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
E.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02235b4e48190a529f70605bf47ca |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a12b5bc8190a300a53a6423e81c |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:40 p.m.