Triple
T20072819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinaburg |
E499780
|
entity |
| Predicate | presentDayCityIs |
P138593
|
FINISHED |
| Object | second largest city in Latvia or among largest |
—
|
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: second largest city in Latvia or among largest | Statement: [Dinaburg, presentDayCityIs, second largest city in Latvia or among largest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentDayCityIs Context triple: [Dinaburg, presentDayCityIs, second largest city in Latvia or among largest]
-
A.
presentDayCityCountry
Indicates that a given city is located in a specified country in the present day.
-
B.
presentDayCityRegion
Indicates that a city is located within or associated with a particular region in the present day.
-
C.
presentDayNear
Indicates that one entity is located a short distance from another in the present time or current context.
-
D.
presentDayCenter
Indicates that an entity currently serves as the central or primary focal point (e.g., administrative, cultural, or functional center) of another entity in the present day.
-
E.
presentDayIncludes
Indicates that the current day in a given calendar or time context encompasses or contains a specified time, date, or event.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:40 p.m.