Triple
T19491265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Kartli-Kakheti |
E487655
|
entity |
| Predicate | hasVassalOrClient |
P7255
|
FINISHED |
| Object | local Georgian nobility |
—
|
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: local Georgian nobility | Statement: [King of Kartli-Kakheti, hasVassalOrClient, local Georgian nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVassalOrClient Context triple: [King of Kartli-Kakheti, hasVassalOrClient, local Georgian nobility]
-
A.
hasSiblingHosts
Indicates that two or more entities share at least one common host, making them sibling hosts in relation to that shared hosting entity.
-
B.
hasOwnerCharacters
Indicates that an entity is associated with one or more characters who own or are responsible for it.
-
C.
hasStakeholder
Indicates that an entity is a stakeholder of another entity, typically having an interest, involvement, or influence in its activities or outcomes.
-
D.
vassalsOf
chosen
Indicates that one entity serves as a subordinate or dependent vassal under the authority or suzerainty of another entity.
-
E.
hasClient
Indicates that an entity maintains a client relationship with another entity, typically as a provider of goods or services.
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348e01b88190a513d0e256161fcd |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.