Triple
T7852094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narew River |
E182079
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Łomża
Łomża is a historic town in northeastern Poland known for its picturesque setting near the Narew River and its regional cultural significance.
|
E940098
|
NE FINISHED |
How this triple was built (4 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: Łomża | Statement: [Narew River, passesNear, Łomża]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Łomża Context triple: [Narew River, passesNear, Łomża]
-
A.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
B.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
C.
Białogard
Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
-
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.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Łomża Triple: [Narew River, passesNear, Łomża]
Generated description
Łomża is a historic town in northeastern Poland known for its picturesque setting near the Narew River and its regional cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Łomża Target entity description: Łomża is a historic town in northeastern Poland known for its picturesque setting near the Narew River and its regional cultural significance.
-
A.
Wołomin
Wołomin is a town in east-central Poland that functions as a suburban community within the greater Warsaw metropolitan area.
-
B.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
C.
Białogard
Białogard is a historic town in northwestern Poland, located in the West Pomeranian Voivodeship on the Parsęta River.
-
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.
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.
- F. None of above. chosen
Provenance (5 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_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69ef354b3b3c8190b1c91dbf9c705a7d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef5170ce9881908f2ecf3d5ada809a |
completed | April 27, 2026, 12:07 p.m. |
Created at: March 30, 2026, 4:51 p.m.