Triple
T10669549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonghegong Lama Temple |
E251450
|
entity |
| Predicate | convertedToMonasteryIn |
P19602
|
FINISHED |
| Object | 1744 |
—
|
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: 1744 | Statement: [Yonghegong Lama Temple, convertedToMonasteryIn, 1744]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToMonasteryIn Context triple: [Yonghegong Lama Temple, convertedToMonasteryIn, 1744]
-
A.
forcedIntoMonasticLifeBy
Indicates that one entity compelled another, against their will or under strong pressure, to enter and live a monastic or religious life.
-
B.
dissolvedAsMonastery
Indicates that an institution ceased to function as a monastery, typically through formal dissolution or suppression of its monastic status.
-
C.
monastery
chosen
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
-
D.
tookSannyasaFrom
Indicates that one entity formally renounced worldly life and accepted the monastic or ascetic order under the guidance or authority of another entity.
-
E.
convertedToTempleAfter
Indicates that a structure or place was transformed from its original use into a temple at a later time.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.