Triple
T4742559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arapova |
E105278
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Арапова |
E105278
|
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: Арапова | Statement: [Arapova, hasTransliteration, Арапова]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Арапова Context triple: [Arapova, hasTransliteration, Арапова]
-
A.
Arapova
chosen
Arapova is a Russian-language surname historically borne by various individuals of Slavic origin.
-
B.
Aral
Aral is a major German fuel retail and service station brand owned by the energy company BP.
-
C.
Dairut
Dairut is a city in Upper Egypt known as an important urban and agricultural center within the Asyut region along the Nile.
-
D.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
E.
Demerdzhi
Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64a7153881909eac451fc7566d25 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a309a408190836c51d0fe85c5d8 |
completed | March 21, 2026, 6:26 a.m. |
Created at: March 20, 2026, 1:19 p.m.