Triple
T24184561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelb‑Rot‑Blau |
E599519
|
entity |
| Predicate | hasAbstractElements |
P155606
|
FINISHED |
| Object | lines |
—
|
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: lines | Statement: [Gelb‑Rot‑Blau, hasAbstractElements, lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbstractElements Context triple: [Gelb‑Rot‑Blau, hasAbstractElements, lines]
-
A.
hasAbstractType
Indicates that an entity is associated with or classified under a more general, conceptual type rather than a concrete or specific instance.
-
B.
hasAlternativeElements
Indicates that one entity includes or is associated with elements that can serve as substitutes or options in place of other elements.
-
C.
hasMainElements
Indicates that something possesses or is composed of its primary or most important constituent parts.
-
D.
hasProductionElements
Indicates that something includes or is associated with specific components, materials, or elements used in its production or creation.
-
E.
hasCodeElementsFor
Indicates a relationship where one entity contains, defines, or is associated with specific code elements (such as classes, methods, or functions) that implement or support another entity.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f27a753ca8819095706970d368f762 |
completed | April 29, 2026, 9:39 p.m. |
Created at: April 17, 2026, 11:35 p.m.