Triple
T21182371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | south-central Poland |
E521983
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | city of Kielce |
—
|
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: city of Kielce | Statement: [south-central Poland, contains, city of Kielce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Kielce Context triple: [south-central Poland, contains, city of Kielce]
-
A.
Kielce
chosen
Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
-
B.
Kielce (city with county rights)
Kielce is a historic city in south-central Poland that serves as the capital and main economic, cultural, and educational center of the Świętokrzyskie region.
-
C.
Kalisz
Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
-
D.
Kluczbork
Kluczbork is a town in southern Poland known as a local administrative, cultural, and economic center in the Opole region.
-
E.
Karłów
Karłów is a small village in southwestern Poland that serves as a popular gateway for tourists exploring the Stołowe Mountains in the Sudetes range.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.