Triple
T10443437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw suburban rail services |
E246224
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Mińsk Mazowiecki |
E885311
|
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: Mińsk Mazowiecki | Statement: [Warsaw suburban rail services, connectsTo, Mińsk Mazowiecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mińsk Mazowiecki Context triple: [Warsaw suburban rail services, connectsTo, Mińsk Mazowiecki]
-
A.
Mińsk Mazowiecki
chosen
Mińsk Mazowiecki is a town in east-central Poland that functions as a local urban center within the broader Warsaw metropolitan area.
-
B.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
C.
Siedlce
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
D.
Łomża
Łomża is a historic town in northeastern Poland known for its picturesque setting near the Narew River and its regional cultural significance.
-
E.
Mielec
Mielec is a town in southeastern Poland known for its aviation industry and manufacturing sector.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbd731c819084dfff83b4481ae8 |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941721d08190900ca872503055db |
completed | May 3, 2026, 6:29 p.m. |
Created at: April 6, 2026, 12:15 p.m.