Triple
T1547894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Poland |
E33019
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Leszno |
E149724
|
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: Leszno | Statement: [Greater Poland, containsCity, Leszno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leszno Context triple: [Greater Poland, containsCity, Leszno]
-
A.
Leszno
chosen
Leszno is a town in western Poland known as a local economic and cultural center in the Greater Poland Voivodeship.
-
B.
Legnica
Legnica is a historic city in southwestern Poland known for its medieval architecture, including a prominent castle and old town, and its role as a regional cultural and economic center.
-
C.
Ojców
Ojców is a small village in southern Poland known as a gateway to the picturesque Ojców National Park in the Kraków-Częstochowa Upland.
-
D.
Bolesławiec
Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
-
E.
Włoszczowa
Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb20dd5a88190b3d6e6f0004fe9b4 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de5dc6e88190beda5545a2e2f84c |
completed | March 11, 2026, 9:27 p.m. |
Created at: March 4, 2026, 7:26 p.m.