Triple
T17839567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ivanava District |
E445486
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Ivanava |
—
|
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: Ivanava | Statement: [Ivanava District, hasSettlement, Ivanava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivanava Context triple: [Ivanava District, hasSettlement, Ivanava]
-
A.
Ivanava
chosen
Ivanava is a town in southwestern Belarus that serves as a local administrative and cultural center.
-
B.
Nakoruru
Nakoruru is a popular Samurai Shodown character known as a nature-loving Ainu shrine maiden who fights alongside her hawk and wolf companions.
-
C.
Ivisan
Ivisan is a coastal municipality in the province of Capiz in the Western Visayas region of the Philippines.
-
D.
Eiryaku
Eiryaku was a Japanese era name (nengō) of the late Heian period, used during the reign of Emperor Go-Shirakawa.
-
E.
Tohana
Tohana is a town and municipal council in the Fatehabad district of the Indian state of Haryana, known as an agricultural and trading center in the region.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2a570c81909787296bde7e795c |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.