Triple
T4141610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Ludwig Michael Mies |
E89282
|
entity |
| Predicate | hasSignatureConcept |
P54115
|
FINISHED |
| Object | universal space |
—
|
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: universal space | Statement: [Maria Ludwig Michael Mies, hasSignatureConcept, universal space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignatureConcept Context triple: [Maria Ludwig Michael Mies, hasSignatureConcept, universal space]
-
A.
hasSignatureRole
Indicates that an entity holds a primary, defining, or officially recognized role within a given context or relationship.
-
B.
hasSignatureTrait
Indicates that an entity possesses a defining or characteristic trait that is especially distinctive or representative of it.
-
C.
hasSignatureItem
Indicates that an entity is associated with a distinctive or primary item that characterizes or represents it.
-
D.
hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
-
E.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.