Triple
T20336929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samachablo |
E495637
|
entity |
| Predicate | historicalPopulationIncluded |
P132910
|
FINISHED |
| Object | Georgians |
—
|
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: Georgians | Statement: [Samachablo, historicalPopulationIncluded, Georgians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPopulationIncluded Context triple: [Samachablo, historicalPopulationIncluded, Georgians]
-
A.
historicalPopulationContext
Indicates the relationship between a population figure and the specific historical period or circumstances in which that population size occurred.
-
B.
historicalPopulationCharacteristic
Indicates a relationship where an entity is associated with a demographic or population-related attribute that held true during a specific historical period.
-
C.
hasPopulationAsOf
Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
-
D.
lastKnownPopulations
Indicates the most recently recorded population counts associated with an entity or set of entities.
-
E.
containsOldPopulations
chosen
Indicates that one entity includes or encompasses populations that are old or long-established.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:23 a.m.