Triple
T11268485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peshawar Museum |
E266748
|
entity |
| Predicate | collectionSizeCharacteristic |
P50437
|
FINISHED |
| Object | one of the largest collections of Gandharan art in the world |
—
|
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: one of the largest collections of Gandharan art in the world | Statement: [Peshawar Museum, collectionSizeCharacteristic, one of the largest collections of Gandharan art in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionSizeCharacteristic Context triple: [Peshawar Museum, collectionSizeCharacteristic, one of the largest collections of Gandharan art in the world]
-
A.
collectionSize
Indicates the total number of items contained within a specified collection.
-
B.
dimensionCharacteristic
chosen
Indicates that one entity specifies or describes a dimensional property or measurement characteristic of another entity.
-
C.
collectionStrength
Indicates the degree or intensity of association or cohesion among items within a collection.
-
D.
clubSize
Indicates the number of members or participants in a given club.
-
E.
sampleSize
Indicates the number of units, observations, or instances included in a particular study, experiment, or dataset.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94f60d48190bc925c3cb88641a8 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.