Triple
T5503299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Gareja monastery complex |
E144376
|
entity |
| Predicate | sufferedDestructionInCentury |
P31453
|
FINISHED |
| Object | 13th 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: 13th century | Statement: [David Gareja monastery complex, sufferedDestructionInCentury, 13th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sufferedDestructionInCentury Context triple: [David Gareja monastery complex, sufferedDestructionInCentury, 13th century]
-
A.
diedInCentury
Indicates that an entity’s death occurred during a specified century.
-
B.
sufferedDestructionIn
chosen
Indicates that an entity experienced damage, ruin, or devastation during or as part of a specified event or period.
-
C.
sankInCentury
Indicates that an entity (typically a ship or vessel) sank during a specified century.
-
D.
destroyedCityYear
Indicates that a specific city was destroyed in a particular year.
-
E.
declineBeganInCentury
Indicates that the period of decline for an entity started during a specified century.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f0bbea48190bb6fecaee9c0b1d0 |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.