Triple
T37636754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddhism in Sri Lanka |
E936508
|
entity |
| Predicate | historicalPrevalence |
P24564
|
FINISHED |
| Object | over two millennia |
—
|
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: over two millennia | Statement: [Buddhism in Sri Lanka, historicalPrevalence, over two millennia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPrevalence Context triple: [Buddhism in Sri Lanka, historicalPrevalence, over two millennia]
-
A.
hasPrevalence
chosen
Indicates that something occurs or exists at a certain frequency, rate, or proportion within a defined population, group, or context.
-
B.
historicallyProneTo
Indicates that an entity has repeatedly or characteristically experienced or exhibited a particular condition, behavior, or event over a significant period in the past.
-
C.
historicalSpread
Indicates how something has expanded, diffused, or propagated across time and/or space throughout history.
-
D.
historicallyConsidered
Indicates that one entity has been regarded or classified in a particular way relative to another entity during a past historical period.
-
E.
peakGlobalPrevalencePeriod
Indicates the time period during which a condition, phenomenon, or attribute reaches its highest global prevalence.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01ac8b4ac881908aa52079c985ddac |
completed | May 11, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_6a01aa7fa7b48190b4911aa6bcabe7eb |
completed | May 11, 2026, 10:07 a.m. |
Created at: May 3, 2026, 4:18 p.m.