Triple
T20096189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pabianice County |
E496406
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Konstantynów Łódzki |
—
|
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: Konstantynów Łódzki | Statement: [Pabianice County, hasTown, Konstantynów Łódzki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konstantynów Łódzki Context triple: [Pabianice County, hasTown, Konstantynów Łódzki]
-
A.
Konstantynów Łódzki
chosen
Konstantynów Łódzki is a town in central Poland, located near the city of Łódź and functionally integrated with it as part of its suburban area.
-
B.
Ostrołęka
Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
-
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.
Kielce
Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
-
E.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666cc02481908780a415b19c05a2 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:25 p.m.