Triple
T4159664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ирон |
E91499
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Iron dialect |
E124251
|
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: Iron dialect | Statement: [Ирон, hasAlternativeName, Iron dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron dialect Context triple: [Ирон, hasAlternativeName, Iron dialect]
-
A.
Scharrel dialect
The Scharrel dialect is a local variety of Saterland Frisian spoken in and around the village of Scharrel in Lower Saxony, Germany.
-
B.
Intemelian dialect
The Intemelian dialect is a regional variety of the Ligurian language traditionally spoken around Ventimiglia and nearby coastal areas of northwestern Italy and southeastern France.
-
C.
Digor dialect
chosen
The Digor dialect is a major variety of the Ossetian language spoken primarily in the western regions of North Ossetia–Alania and parts of the central Caucasus.
-
D.
Limba
The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
-
E.
Westronic
Westronic is a company known for its work in industrial and utility communication systems, including contributions to SCADA and telemetry technologies.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af029454d08190b7ff32776081fabc |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f40678481908894ff315932a610 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.