Triple
T19106816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coins of the Ottoman Empire |
E467677
|
entity |
| Predicate | primaryMetal |
P92404
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [Coins of the Ottoman Empire, primaryMetal, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryMetal Context triple: [Coins of the Ottoman Empire, primaryMetal, gold]
-
A.
associatedMetal
Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
-
B.
nobleMetal
Indicates that the subject is classified as a noble (chemically inert and corrosion-resistant) metal.
-
C.
stateMetal
Indicates that an entity is in a metallic state or exhibits properties characteristic of a metal.
-
D.
mainMetalProduced
chosen
Indicates that a location, facility, or process primarily produces a particular metal as its main output.
-
E.
metalComparedWith
Indicates a comparison being made between two metals in terms of some property, quality, or characteristic.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391245c8190b1393577b61c4f76 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.