Triple
T13361572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian literature |
E318832
|
entity |
| Predicate | earliestKnownTextDate |
P32363
|
FINISHED |
| Object | 5th century |
—
|
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: 5th century | Statement: [Georgian literature, earliestKnownTextDate, 5th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestKnownTextDate Context triple: [Georgian literature, earliestKnownTextDate, 5th century]
-
A.
earliestTextsIn
Indicates that certain texts are among the earliest known examples found in or associated with a particular place or context.
-
B.
earliestStrataDate
Indicates the earliest known or recorded date associated with a particular geological or archaeological stratum.
-
C.
earliestPoemsDateFrom
chosen
Indicates that the earliest known poems associated with an entity originate from or can be dated to a specified time or period.
-
D.
earliestManuscripts
Indicates that the related entity (e.g., a text or work) is associated with its earliest known surviving manuscripts or documentary witnesses.
-
E.
hasEarliestMajorCorpus
Indicates that one entity is associated with the earliest significant or primary body of work (major corpus) relative to other comparable entities.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.