Triple
T15929124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dechen Phodrang Monastery |
E386277
|
entity |
| Predicate | hasMuralsFrom |
P120588
|
FINISHED |
| Object | 12th 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: 12th century | Statement: [Dechen Phodrang Monastery, hasMuralsFrom, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuralsFrom Context triple: [Dechen Phodrang Monastery, hasMuralsFrom, 12th century]
-
A.
hasMuralsDepicting
Indicates that one entity contains or features murals that visually represent or portray another entity.
-
B.
artistOfMurals
Indicates that an entity creates or is responsible for producing murals.
-
C.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
-
D.
areaOfMurals
Indicates the geographic or spatial area within which the murals are located or distributed.
-
E.
muralsPaintedBetween
Indicates that murals were painted during a specific time interval between two given dates or events.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.