Triple
T17927498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarnopol Voivodeship |
E448234
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Husiatyn |
—
|
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: Husiatyn | Statement: [Tarnopol Voivodeship, containsCity, Husiatyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Husiatyn Context triple: [Tarnopol Voivodeship, containsCity, Husiatyn]
-
A.
Husiatyn
chosen
Husiatyn is a small historic town in western Ukraine known for its multicultural heritage and architectural landmarks, including old synagogues and churches.
-
B.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
-
C.
Huchnom
Huchnom refers to a subgroup of the Yuki people, an Indigenous group native to what is now Northern California.
-
D.
Huta
Huta is a village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its proximity to the Carpathian Mountains and forested landscapes.
-
E.
Harsusi
Harsusi is a critically endangered South Semitic language spoken by a small community in the Dhofar region of Oman.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a54f29a88190b035d8473765bde5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.