Triple
T3714791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shota Rustaveli (symbolic memorial) |
E81499
|
entity |
| Predicate | honorsEra |
P561
|
FINISHED |
| Object | medieval 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: medieval period | Statement: [Shota Rustaveli (symbolic memorial), honorsEra, medieval period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsEra Context triple: [Shota Rustaveli (symbolic memorial), honorsEra, medieval period]
-
A.
notableEra
chosen
Indicates the historical period or era for which an entity is especially recognized or significant.
-
B.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
C.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
D.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
E.
sponsorshipEra
Indicates the time period during which a sponsorship relationship is in effect between parties.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.