Triple
T5902977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Palatine of Zweibrücken |
E131271
|
entity |
| Predicate | nobleHierarchyLevel |
P53396
|
FINISHED |
| Object | below prince-elector |
—
|
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: below prince-elector | Statement: [Count Palatine of Zweibrücken, nobleHierarchyLevel, below prince-elector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleHierarchyLevel Context triple: [Count Palatine of Zweibrücken, nobleHierarchyLevel, below prince-elector]
-
A.
nobleRankAbove
Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
-
B.
nobleRankInOrder
Indicates that an entity holds a specific noble rank at a particular position within an established order of nobility.
-
C.
nobleRankType
chosen
Indicates the specific category or level of nobility associated with an entity within a hierarchical noble rank system.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
hasNobleStatus
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.