Triple
T15032000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bug |
E378375
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Siemiatycze |
E335521
|
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: Siemiatycze | Statement: [Bug, flowsNear, Siemiatycze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siemiatycze Context triple: [Bug, flowsNear, Siemiatycze]
-
A.
Siemiatycze
chosen
Siemiatycze is a small town in northeastern Poland known for its multicultural heritage and location near the Bug River.
-
B.
Siemianowice Śląskie
Siemianowice Śląskie is an industrial city in southern Poland, historically part of Upper Silesia and closely linked to the Katowice urban area.
-
C.
Pszczyna
Pszczyna is a historic town in southern Poland known for its well-preserved castle complex and picturesque old town.
-
D.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
-
E.
Skrzyczne
Skrzyczne is a prominent mountain in southern Poland known for its hiking trails, ski resort, and panoramic views over the Silesian Beskids.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b272ea6c8190b22fd78081446701 |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 2:59 a.m.