Triple
T13456359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çärjew |
E311243
|
entity |
| Predicate | usedAsCityNameUntil |
P73939
|
FINISHED |
| Object | Soviet period |
—
|
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: Soviet period | Statement: [Çärjew, usedAsCityNameUntil, Soviet period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsCityNameUntil Context triple: [Çärjew, usedAsCityNameUntil, Soviet period]
-
A.
usedAsTownNameUntil
chosen
Indicates that an entity served as the official or common name of a town up to a specified point in time.
-
B.
usedAsCountyNameUntil
Indicates that an entity served as the official name of a county up to a specified point in time.
-
C.
usedAsCityHallUntil
Indicates that a building or location functioned as the city hall up to a specified end date or time period.
-
D.
usedAsTownNameFor
Indicates that something serves as the official or common name of a particular town.
-
E.
usedAsCityHallFrom
Indicates that a building or location functioned as the official city hall of a municipality during a specified time period.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:41 p.m.