Triple
T6690671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabana |
E152617
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Kia-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: Kia-Zabana | Statement: [Zabana, hasAlternativeName, Kia-Zabana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kia-Zabana Context triple: [Zabana, hasAlternativeName, Kia-Zabana]
-
A.
Zabana
chosen
Zabana is an Oceanic language spoken in the Solomon Islands, primarily on Santa Isabel Island.
-
B.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
-
C.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
-
D.
Kiya
Kiya was a lesser-known wife of the Egyptian pharaoh Akhenaten, often associated with the Amarna period and subject to scholarly debate regarding her origins and role at court.
-
E.
Jawoyn
Jawoyn is an Aboriginal Australian people and their associated language from the Northern Territory, particularly around the Katherine 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_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.