Triple
T17162879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bielany |
E416525
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Marymont-Ruda |
E905816
|
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: Marymont-Ruda | Statement: [Bielany, contains, Marymont-Ruda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marymont-Ruda Context triple: [Bielany, contains, Marymont-Ruda]
-
A.
Marymont
chosen
Marymont is a residential neighborhood in northern Warsaw, Poland, known for its green spaces and proximity to the Vistula River.
-
B.
Loretto
Loretto is a small town in central Kentucky best known as the home of the Maker’s Mark bourbon distillery.
-
C.
Loretto
Loretto is a small city located in Hennepin County in the U.S. state of Minnesota.
-
D.
Gracemont
Gracemont is a low-power, high-efficiency CPU microarchitecture developed by Intel for its Atom-class and hybrid processors.
-
E.
Marycrest
Marycrest is a residential neighborhood located within the community of Ashburn.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91316108190b0d856d6fa5cd509 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483969a48190a90268c9560b8cd7 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.