Triple
T374036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Croix de la Légion d'honneur |
E8330
|
entity |
| Predicate | lowerRanks |
P3584
|
FINISHED |
| Object | Grand officier de la Légion d'honneur |
—
|
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: Grand officier de la Légion d'honneur | Statement: [Grand Croix de la Légion d'honneur, lowerRanks, Grand officier de la Légion d'honneur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerRanks Context triple: [Grand Croix de la Légion d'honneur, lowerRanks, Grand officier de la Légion d'honneur]
-
A.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
B.
belowLeague
Indicates that one entity is in a lower league, division, or competitive tier than another entity.
-
C.
lowerCourt
Indicates that one court holds a subordinate or inferior position in the judicial hierarchy relative to another court.
-
D.
typicallyHoldsRank
Indicates that an entity is most commonly or usually associated with holding a particular rank or level in a hierarchy.
-
E.
nextHigherRank
chosen
Indicates that one entity holds the immediately superior rank or level in a hierarchy relative to 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec13b9b48190b294d998c6720132 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96216048190873ae533fa5b864d |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.