Triple
T30747698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CZ071 |
E782858
|
entity |
| Predicate | governingStateOfRepresentedRegion |
P200518
|
FINISHED |
| Object | Czech Republic |
—
|
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: Czech Republic | Statement: [CZ071, governingStateOfRepresentedRegion, Czech Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingStateOfRepresentedRegion Context triple: [CZ071, governingStateOfRepresentedRegion, Czech Republic]
-
A.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
B.
representedState
Indicates that one entity serves as a representation or depiction of the state or condition of another entity.
-
C.
regionOfState
Indicates that one administrative or geographical region is a subdivision or part of a larger state.
-
D.
inUSStateRegion
Indicates that one entity is located within, or belongs to, a specific region of a U.S. state.
-
E.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f224af8d8481908bea03890c5618be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
| PDg | Predicate description generation | batch_69ff935f48808190aa6f4834f59d45b8 |
completed | May 9, 2026, 8:04 p.m. |
Created at: April 29, 2026, 8:38 p.m.