Triple
T9074146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dong Son bronze drums |
E217442
|
entity |
| Predicate | averageDiameter |
P87049
|
FINISHED |
| Object | about 60 to 80 centimeters |
—
|
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: about 60 to 80 centimeters | Statement: [Dong Son bronze drums, averageDiameter, about 60 to 80 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageDiameter Context triple: [Dong Son bronze drums, averageDiameter, about 60 to 80 centimeters]
-
A.
meanDiameter_km
Indicates the average diameter of an object or region measured in kilometers.
-
B.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
-
C.
hasPolarDiameter_km
Indicates the length of an object's diameter measured from pole to pole, expressed in kilometers.
-
D.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
E.
polarRadius_km
Indicates the length of an object's radius from its center to a pole, measured in kilometers.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c4026c8190b553aedb9f4beabb |
completed | April 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:12 p.m.