Triple
T38166287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maha Myat Muni Buddha |
E953151
|
entity |
| Predicate | yearTransported |
P190176
|
FINISHED |
| Object | 1784 |
—
|
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: 1784 | Statement: [Maha Myat Muni Buddha, yearTransported, 1784]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearTransported Context triple: [Maha Myat Muni Buddha, yearTransported, 1784]
-
A.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
B.
traveledYears
Indicates the number of years an entity has spent traveling or engaged in travel-related activity.
-
C.
transportedBetween
Indicates that an entity is moved or conveyed from one specified location or state to another.
-
D.
transportedFor
Indicates that one entity was moved or carried from one place to another for the benefit, use, or purpose of another entity or activity.
-
E.
transportedOver
Indicates that something is moved or carried across or along a specified medium, route, or surface.
- F. None of above. chosen
Provenance (4 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcb089a8f881909aa9e722babd43f7 |
completed | May 7, 2026, 3:32 p.m. |
| PD | Predicate disambiguation | batch_69fc45666c5c8190913bd632ac0e5b84 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcb088aac481909db90804faff315f |
completed | May 7, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:21 p.m.