Triple
T3166023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazovia |
E66213
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ostrołęka |
E302877
|
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: Ostrołęka | Statement: [Mazovia, containsCity, Ostrołęka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ostrołęka Context triple: [Mazovia, containsCity, Ostrołęka]
-
A.
Ostrołęka
chosen
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.
-
B.
Ostrowiec Świętokrzyski
Ostrowiec Świętokrzyski is a city in south-central Poland known for its steel industry and proximity to the Świętokrzyskie (Holy Cross) Mountains.
-
C.
Olsztynek
Olsztynek is a small historic town in northern Poland known for its open-air ethnographic museum and location within the picturesque Warmian-Masurian lake district.
-
D.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
-
E.
Ostróda
Ostróda is a town in northern Poland known for its lakeside setting, tourism, and role as a local economic and cultural 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada643e3e481908f4526d66e36e150 |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70b4a5388190935a308e883dfe13 |
completed | March 22, 2026, 4:31 a.m. |
Created at: March 8, 2026, 3:06 p.m.