Triple
T5790495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abzhywa dialect |
E128379
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Abzhua dialect |
E128379
|
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: Abzhua dialect | Statement: [Abzhywa dialect, hasAlternativeName, Abzhua dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abzhua dialect Context triple: [Abzhywa dialect, hasAlternativeName, Abzhua dialect]
-
A.
Abzhywa dialect
chosen
The Abzhywa dialect is a major regional variety of the Abkhaz language, traditionally spoken in the Abzhywa (Abzhua) area of Abkhazia.
-
B.
Doabi dialect
The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
-
C.
Akusha dialect
The Akusha dialect is a principal standardized variety of the Dargin language spoken in Dagestan, Russia.
-
D.
Namoluk dialect
The Namoluk dialect is a regional variety of the Mortlockese language spoken primarily on Namoluk Atoll in the Federated States of Micronesia.
-
E.
Nabua dialect
The Nabua dialect is a local variety of the Rinconada Bikol language spoken primarily in and around the municipality of Nabua in Camarines Sur, Philippines.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5585788190821b8da40259e0e7 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a178ccf481909beddf56b66a588d |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:51 p.m.