Triple
T11168201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myene |
E264207
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Myene |
E50260
|
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: Myene | Statement: [Myene, glottologName, Myene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myene Context triple: [Myene, glottologName, Myene]
-
A.
Myene
chosen
Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
-
B.
Mysen
Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
-
C.
Mēmele
Mēmele is a river in the Baltic region that serves as one of the headwaters forming Latvia’s Lielupe River.
-
D.
Myus
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
E.
Kuiil
Kuiil is a wise and skilled Ugnaught moisture farmer and former Imperial indentured servant who aids the Mandalorian with his technical expertise and calm counsel in the Star Wars series "The Mandalorian."
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483747ba88190aa6ef9df2545b18b |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:29 p.m.