Triple
T37619704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maréchalat de France |
E936029
|
entity |
| Predicate | highestRankComparedTo |
P104523
|
FINISHED |
| Object | général d’armée |
—
|
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: général d’armée | Statement: [Maréchalat de France, highestRankComparedTo, général d’armée]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestRankComparedTo Context triple: [Maréchalat de France, highestRankComparedTo, général d’armée]
-
A.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
-
B.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
C.
highestRanking
chosen
Indicates that one entity holds the top or most senior rank relative to a set of other entities.
-
D.
higherRankHas
Indicates that one entity holds a higher rank or hierarchical position than another entity.
-
E.
isRankedAbove
Indicates that one entity holds a higher position or status in an ordered ranking than 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
Created at: May 3, 2026, 4:18 p.m.