Triple
T14985505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiksey Monastery |
E373689
|
entity |
| Predicate | MaitreyaBuddhaStoreys |
P103284
|
FINISHED |
| Object | two-storey statue |
—
|
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: two-storey statue | Statement: [Thiksey Monastery, MaitreyaBuddhaStoreys, two-storey statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MaitreyaBuddhaStoreys Context triple: [Thiksey Monastery, MaitreyaBuddhaStoreys, two-storey statue]
-
A.
numberOfSutras
Indicates the quantity or count of sutras associated with a given entity.
-
B.
viewOnBuddha
Indicates that an entity holds a particular perspective, opinion, or interpretive stance regarding Buddha.
-
C.
associatedBuddha
chosen
Indicates a relationship where something is linked or connected to a particular Buddha, such as being attributed to, dedicated to, or representing that Buddha.
-
D.
BuddhistTradition
Indicates that an entity follows, embodies, or is associated with Buddhist religious, philosophical, or cultural traditions.
-
E.
placeOfEnlightenment
Indicates the location or setting where an entity attains spiritual or intellectual enlightenment.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.