Triple
T25019467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitwa o Kołobrzeg |
E626531
|
entity |
| Predicate | rodzajWalk |
P96787
|
FINISHED |
| Object | walki w terenie zurbanizowanym |
—
|
LITERAL 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: walki w terenie zurbanizowanym | Statement: [Bitwa o Kołobrzeg, rodzajWalk, walki w terenie zurbanizowanym]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rodzajWalk Context triple: [Bitwa o Kołobrzeg, rodzajWalk, walki w terenie zurbanizowanym]
-
A.
formaWalki
Indicates a relationship where an entity is associated with, or characterized by, a particular form or style of combat.
-
B.
rodzaj
chosen
Indicates that one entity is a type, kind, or category of another entity.
-
C.
walks
Indicates that an entity moves on foot from one place to another, typically at a regular, moderate pace.
-
D.
walkOffType
Indicates the specific way in which a walk-off (a game-ending play or event) occurs or is classified.
-
E.
boardwalkType
Indicates the specific kind or classification of a boardwalk in relation to its general category or design.
- F. None of above.
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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:06 a.m.