Triple
T5133536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bagrat III of Georgia |
E115759
|
entity |
| Predicate | coronationAsKingOfTheGeorgiansDate |
P1508
|
FINISHED |
| Object | 1008 |
—
|
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: 1008 | Statement: [Bagrat III of Georgia, coronationAsKingOfTheGeorgiansDate, 1008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coronationAsKingOfTheGeorgiansDate Context triple: [Bagrat III of Georgia, coronationAsKingOfTheGeorgiansDate, 1008]
-
A.
coronationDate
chosen
Indicates the date on which an individual is formally crowned or installed into a royal or equivalent sovereign position.
-
B.
dateOfInvestitureAsPrinceOfWales
Indicates the date on which an individual was formally invested with the title and role of Prince of Wales.
-
C.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
-
D.
placedOnThrone
Indicates that an entity is formally elevated to a position of rulership or authority, typically by being seated on a throne.
-
E.
coronationAsCoEmperorDate
Indicates the date on which an individual was formally crowned or installed as a co-emperor alongside another reigning emperor.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:42 p.m.