Triple
T4405248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samogitia |
E93714
|
entity |
| Predicate | lastEuropeanRegionChristianized |
P56065
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Samogitia, lastEuropeanRegionChristianized, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastEuropeanRegionChristianized Context triple: [Samogitia, lastEuropeanRegionChristianized, true]
-
A.
europeanRegion
Indicates that an entity is located in, associated with, or classified as part of a region within Europe.
-
B.
dateOfChristianization
Indicates the date on which a person, group, or place was converted to Christianity or formally adopted the Christian faith.
-
C.
christianizationRuler
Indicates that a ruler is responsible for or associated with the process of converting people or territories to Christianity.
-
D.
countryDuringCrusades
Indicates that an entity functioned as or corresponded to a particular country during the historical period of the Crusades.
-
E.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b35488d5b8819087370dd77249aefb |
completed | March 13, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.