Triple
T9269301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mwaghavul |
E222781
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Mwagavul |
E222781
|
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: Mwagavul | Statement: [Mwaghavul, hasAlternativeName, Mwagavul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mwagavul Context triple: [Mwaghavul, hasAlternativeName, Mwagavul]
-
A.
Mwaghavul
chosen
Mwaghavul is a Chadic language spoken primarily by the Mwaghavul people in Plateau State, central Nigeria.
-
B.
Mwotlap
Mwotlap is an Oceanic Austronesian language spoken on Mota Lava and nearby islands in northern Vanuatu.
-
C.
Wamwene
Wamwene is the distinctive middle name of Vada Wamwene Mescudi, the daughter of American rapper and actor Kid Cudi.
-
D.
Mukuzani
Mukuzani is a renowned Georgian red wine appellation known for producing dry, oak-aged wines from the Saperavi grape in the Kakheti region.
-
E.
Kwaluudhi
Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100bcd1d08190ad8fe83841f6761f |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:33 p.m.