Triple
T25624521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Monument of Indonesia |
E642391
|
entity |
| Predicate | goldWeight |
P77070
|
FINISHED |
| Object | approximately 35 kilograms |
—
|
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: approximately 35 kilograms | Statement: [National Monument of Indonesia, goldWeight, approximately 35 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldWeight Context triple: [National Monument of Indonesia, goldWeight, approximately 35 kilograms]
-
A.
silverWeight
Indicates the weight or mass of an entity measured specifically in silver.
-
B.
goldDescribedAs
Indicates that something is characterized or referred to using the term "gold" or a gold-related description.
-
C.
goldPlatingWeight
chosen
Indicates the weight associated with a layer or amount of gold plating applied to an object or surface.
-
D.
standardGoldContent
Indicates the specified standard or required amount of gold contained in something, typically as a measure of purity or value.
-
E.
nobleMetal
Indicates that the subject is classified as a noble (chemically inert and corrosion-resistant) metal.
- 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_69e77e7a96748190b10f2699041e4e43 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa22aeb881908a48cf96bf2cf873 |
completed | May 2, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69f4807f8680819098a524158d049c63 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 5:07 p.m.