Triple
T6325443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamiyan Buddhas |
E141850
|
entity |
| Predicate | hasCaveMonasteries |
P20652
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Bamiyan Buddhas, hasCaveMonasteries, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCaveMonasteries Context triple: [Bamiyan Buddhas, hasCaveMonasteries, true]
-
A.
containsMonastery
chosen
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
B.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
C.
numberOfActiveMonasteries
Indicates the count of monasteries that are currently active or operational in a given context.
-
D.
monasticCenters
Indicates that one entity serves as a monastic center or hub for religious monastic life in relation to another entity.
-
E.
monasteryType
Indicates the specific kind or classification of a monastery in relation to its broader religious or organizational category.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e701ec81908e5eaa0660d01a4b |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.