Triple
T22868641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utik |
E567124
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Outik |
—
|
NE NERFINISHED |
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: Outik | Statement: [Utik, hasAlternativeName, Outik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outik Context triple: [Utik, hasAlternativeName, Outik]
-
A.
Oukaimeden
Oukaimeden is a popular ski resort and mountain destination in the High Atlas Mountains of Morocco, known for its winter sports and scenic alpine landscapes.
-
B.
Оять
Оять — река на северо-западе России, протекающая по территории Ленинградской и Вологодской областей и известная как значимый водный путь региона.
-
C.
Otuokpoti
Otuokpoti is a town located in the Ogbia area of Bayelsa State in Nigeria.
-
D.
Utik
chosen
Utik was an ancient historical region in the South Caucasus, located on the frontier of Caucasian Albania and often contested by neighboring Armenian and Iberian kingdoms.
-
E.
Terioki
Terioki was the former name of the Finnish coastal town now known as Zelenogorsk, a resort area near Saint Petersburg on the Gulf of Finland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f02c8b8819095cbee626f935fed |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.