Triple
T23682548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wawer |
E585066
|
entity |
| Predicate | hasAdministrativeDivisionCode |
P113277
|
FINISHED |
| Object | district of Warsaw |
—
|
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: district of Warsaw | Statement: [Wawer, hasAdministrativeDivisionCode, district of Warsaw]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeDivisionCode Context triple: [Wawer, hasAdministrativeDivisionCode, district of Warsaw]
-
A.
appliesAdministrativeDivisionCode
chosen
Indicates that an administrative division code is assigned or associated with a given entity.
-
B.
hasAdministrativeArea
Indicates that one entity serves as the governing or jurisdictional area responsible for administering another entity.
-
C.
hasSubdivisionCode
Indicates that an entity is associated with a specific code identifying one of its internal subdivisions (such as a state, province, or region).
-
D.
usesAdministrativeDivisionType
Indicates that one entity employs or applies a particular type of administrative division as part of its territorial or organizational structure.
-
E.
hasDivisionCode
Indicates that an entity is associated with a specific division identifier or code within an organizational or classification structure.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f93dd081909040ff117a82b87e |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:51 p.m.