Triple
T7157079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmelnytskyi |
E166839
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Proskuriv |
E405807
|
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: Proskuriv | Statement: [Khmelnytskyi, formerName, Proskuriv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proskuriv Context triple: [Khmelnytskyi, formerName, Proskuriv]
-
A.
Proskuriv
chosen
Proskuriv is the former name of the Ukrainian city now known as Khmelnytskyi, a regional center in western Ukraine.
-
B.
Pervalka
Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
-
C.
Rudsak
Rudsak is a Canadian fashion brand known for its contemporary outerwear, leather goods, and accessories.
-
D.
Sukošan
Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
-
E.
Prokhladny
Prokhladny is a town in the Kabardino-Balkar Republic of Russia, known as an agricultural and transport center in the North Caucasus region.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80f14808190907ee84523630d85 |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb530388190b68fa05418d3e184 |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:47 p.m.