Triple
T33344514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of Zubrowka |
E853758
|
entity |
| Predicate | hasFictionalSecurityOrganization |
P95623
|
FINISHED |
| Object | ZZ (Zig-Zag Division) |
—
|
NE NERFINISHED |
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: ZZ (Zig-Zag Division) | Statement: [Republic of Zubrowka, hasFictionalSecurityOrganization, ZZ (Zig-Zag Division)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalSecurityOrganization Context triple: [Republic of Zubrowka, hasFictionalSecurityOrganization, ZZ (Zig-Zag Division)]
-
A.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
-
B.
rivalFictionalAgency
Indicates that one fictional agency stands in opposition or competition to another fictional agency.
-
C.
hasFictionalCorporation
Indicates that an entity is associated with or includes a fictional corporation within its content, setting, or narrative.
-
D.
hasFictionalPoliceDepartment
chosen
Indicates that an entity is associated with or features a police department that exists only within a fictional or imaginary context.
-
E.
capturedByFictionalGroup
Indicates that an entity is taken prisoner, seized, or otherwise held under the control of a fictional group.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 1, 2026, 1:34 a.m.