Triple
T28716301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powązki |
E729969
|
entity |
| Predicate | belongsToCityWithStatus |
P192485
|
FINISHED |
| Object | capital city of Poland |
—
|
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: capital city of Poland | Statement: [Powązki, belongsToCityWithStatus, capital city of Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCityWithStatus Context triple: [Powązki, belongsToCityWithStatus, capital city of Poland]
-
A.
belongsToCityState
Indicates that an entity is located within or associated with a specific city and state jurisdiction.
-
B.
hasCityStatusFor
Indicates that an entity holds official city status within the jurisdiction or context of another entity.
-
C.
belongsToCityType
Indicates that one entity is classified under, or associated with, a particular type or category of city.
-
D.
belongsToDistrictBeforeCityStatus
Indicates that an entity was part of a specific district prior to the area being granted city status.
-
E.
impliesStatusOfCity
Indicates that one entity suggests, infers, or entails a particular status or condition of a city.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: April 28, 2026, 5:51 a.m.