Triple
T27294085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquis of Pont-à-Mousson |
E688709
|
entity |
| Predicate | partOfNobilitySystem |
P9679
|
FINISHED |
| Object | Lorrainian nobility |
—
|
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: Lorrainian nobility | Statement: [Marquis of Pont-à-Mousson, partOfNobilitySystem, Lorrainian nobility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfNobilitySystem Context triple: [Marquis of Pont-à-Mousson, partOfNobilitySystem, Lorrainian nobility]
-
A.
nobilitySystem
Indicates a social or political structure in which individuals are ranked by hereditary titles or noble status.
-
B.
nobilityClass
chosen
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
-
C.
involvedNobility
Indicates that the entities participated in or were associated with an event, action, or situation in the capacity of nobility or aristocratic status.
-
D.
positionOnNobility
Indicates the rank or status an entity holds within a hierarchy of nobility.
-
E.
aristocraticTitleStatus
Indicates the status or condition of an entity’s aristocratic or noble title (e.g., whether and how the title is held, recognized, or used).
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 27, 2026, 11:17 a.m.