Triple
T13485781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General der Panzertruppe |
E318496
|
entity |
| Predicate | approximateUSRankEquivalent |
P19071
|
FINISHED |
| Object | Lieutenant General |
—
|
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: Lieutenant General | Statement: [General der Panzertruppe, approximateUSRankEquivalent, Lieutenant General]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateUSRankEquivalent Context triple: [General der Panzertruppe, approximateUSRankEquivalent, Lieutenant General]
-
A.
comparableInternationalRank
Indicates that two entities have international rankings that can be meaningfully compared to each other.
-
B.
rankEquivalent
chosen
Indicates that two entities hold the same rank or hierarchical level within a given ordering or classification system.
-
C.
hasApproximateRanking
Indicates that one entity is assigned a non-exact, estimated, or relative position or order with respect to others.
-
D.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
E.
nationalRankingScope
Indicates that the ranking being referred to is evaluated at the national (country-wide) level rather than regional or local scopes.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3a15b48190b63fb59e926a97ae |
completed | April 12, 2026, 2:42 p.m. |
| PD | Predicate disambiguation | batch_69dbae06061881909a6a6032e0507587 |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:42 p.m.