Triple
T7852096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narew River |
E182079
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Nowy Dwór Mazowiecki |
E405547
|
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: Nowy Dwór Mazowiecki | Statement: [Narew River, passesNear, Nowy Dwór Mazowiecki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nowy Dwór Mazowiecki Context triple: [Narew River, passesNear, Nowy Dwór Mazowiecki]
-
A.
Nowy Dwór Mazowiecki
chosen
Nowy Dwór Mazowiecki is a town in east-central Poland, situated near Warsaw at the confluence of the Vistula and Narew rivers and known for hosting the Warsaw Modlin Airport.
-
B.
Tomaszów Mazowiecki
Tomaszów Mazowiecki is a town in central Poland known for its industrial heritage and proximity to natural attractions, including the Pilica River and the Sulejów Landscape Park.
-
C.
Nowy Wiśnicz
Nowy Wiśnicz is a historic town in southern Poland’s Lesser Poland Voivodeship, known for its well-preserved Renaissance castle and old town.
-
D.
Mińsk Mazowiecki
Mińsk Mazowiecki is a town in east-central Poland that functions as a local urban center within the broader Warsaw metropolitan area.
-
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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ec48548190960bd564a60effa8 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f08ec96fe88190b791e6f50f39173f |
completed | April 28, 2026, 10:41 a.m. |
Created at: March 30, 2026, 4:51 p.m.