Triple
T33525956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euchaita |
E858639
|
entity |
| Predicate | provinceInPeriod |
P58399
|
FINISHED |
| Object | theme of Armeniakon |
—
|
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: theme of Armeniakon | Statement: [Euchaita, provinceInPeriod, theme of Armeniakon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceInPeriod Context triple: [Euchaita, provinceInPeriod, theme of Armeniakon]
-
A.
provinceAtTime
chosen
Indicates that an entity is a province of (or belongs to the jurisdiction of) another entity during a specified time or time interval.
-
B.
provinceExistedFrom
Indicates the starting point in time from which a province began to exist or was officially established.
-
C.
provinceName
Indicates that a province entity is associated with its specific name as a textual label.
-
D.
previousProvince
Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
-
E.
populationProvince
Indicates that a specified population figure is associated with, or belongs to, a particular province.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:39 a.m.