Triple
T12300514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Karl Marx |
E293205
|
entity |
| Predicate | hasCentralMedallion |
P39197
|
FINISHED |
| Object | round medallion with Karl Marx portrait |
—
|
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: round medallion with Karl Marx portrait | Statement: [Order of Karl Marx, hasCentralMedallion, round medallion with Karl Marx portrait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentralMedallion Context triple: [Order of Karl Marx, hasCentralMedallion, round medallion with Karl Marx portrait]
-
A.
centralMedallion
chosen
Indicates that one entity serves as the central medallion element or motif within the design or composition of another entity.
-
B.
hasCentralCandle
Indicates that an object or arrangement includes a primary candle positioned at its center.
-
C.
hasCentralAct
Indicates that an entity includes or is characterized by a primary or most important action, event, or operation at its core.
-
D.
hasCentralStreet
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
-
E.
hasCentralClaim
Indicates that one entity presents or embodies the main assertion, thesis, or primary point made by another entity.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.