Triple
T20277521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topaz Medallion |
E503053
|
entity |
| Predicate | hasMedalForm |
P139518
|
FINISHED |
| Object | medallion |
—
|
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: medallion | Statement: [Topaz Medallion, hasMedalForm, medallion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMedalForm Context triple: [Topaz Medallion, hasMedalForm, medallion]
-
A.
hasMedalComponent
Indicates that something includes or is composed of a particular medal or medal-related part as one of its components.
-
B.
hasMedalEquivalent
Indicates that one medal is considered equivalent in value, status, or recognition to another medal.
-
C.
hasTrophyForm
Indicates that one entity exists in, or is characterized by, a special trophy-like form or version of another entity.
-
D.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
E.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e675e4cdfc81908c7cb4519a7d744b |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 16, 2026, 10:35 a.m.