Triple
T8683399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egrisi |
E206092
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Lazika |
E509005
|
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: Lazika | Statement: [Egrisi, hasAlternativeName, Lazika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lazika Context triple: [Egrisi, hasAlternativeName, Lazika]
-
A.
Lazikē
chosen
Lazikē is the historical region on the eastern coast of the Black Sea, in what is now western Georgia, that served as the homeland of the Laz people and a strategic frontier between the Byzantine and Sasanian empires.
-
B.
Sama Chakeva
Sama Chakeva is a traditional folk festival of the Mithila region celebrating the bond between brothers and sisters through songs, rituals, and decorative clay idols of birds.
-
C.
Sevdaliza
Sevdaliza is an Iranian-Dutch singer, songwriter, and producer known for her experimental blend of electronic, trip-hop, and avant-pop music paired with highly conceptual visual art.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3c3c74c81908cd9e881d5963492 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.