Triple
T32186011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OR-5 |
E822109
|
entity |
| Predicate | correspondsToRankGroup |
P173591
|
FINISHED |
| Object | junior NCO |
—
|
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: junior NCO | Statement: [OR-5, correspondsToRankGroup, junior NCO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToRankGroup Context triple: [OR-5, correspondsToRankGroup, junior NCO]
-
A.
rankGroupOf
chosen
Indicates a relationship where entities are grouped together and assigned a shared rank or ordered position within a larger ranking system.
-
B.
containsRank
Indicates that one entity includes or encompasses another entity that has a specific rank or hierarchical level within it.
-
C.
representsRank
Indicates that one entity serves as the rank, status, or hierarchical level assigned to another entity.
-
D.
associatedWithRank
Indicates a relationship where an entity is linked to a specific rank, level, or hierarchical position.
-
E.
namedForRank
Indicates that something is named after a specific rank or title held by an 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: May 1, 2026, 12:35 a.m.