Triple
T15727376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish royal regalia |
E381251
|
entity |
| Predicate | meltedDownInto |
P5013
|
FINISHED |
| Object | gold bullion |
—
|
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 bullion | Statement: [Polish royal regalia, meltedDownInto, gold bullion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meltedDownInto Context triple: [Polish royal regalia, meltedDownInto, gold bullion]
-
A.
materialMelted
chosen
Indicates that a material has undergone melting, transitioning from a solid to a liquid state.
-
B.
canMelt
Indicates that one entity has the capability to melt another entity or substance under appropriate conditions.
-
C.
burnedDownIn
Indicates that a structure or object was destroyed by fire during a particular event or incident.
-
D.
hasMeltingMechanism
Indicates that an entity possesses a specific mechanism or process by which it melts or causes melting.
-
E.
dissolved
Indicates that one substance has been mixed into another so thoroughly that it forms a uniform solution and is no longer distinguishable as a separate phase.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.