Triple
T24918758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel General |
E624061
|
entity |
| Predicate | statusInGermany |
P159392
|
FINISHED |
| Object | historical rank |
—
|
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: historical rank | Statement: [Colonel General, statusInGermany, historical rank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInGermany Context triple: [Colonel General, statusInGermany, historical rank]
-
A.
statusInSweden
Indicates the legal, social, or official standing or condition that an entity holds within the context of Sweden.
-
B.
statusInFinland
Indicates the legal, social, or administrative standing or condition an entity holds specifically within Finland.
-
C.
statusInUK
Indicates the legal or official status that an entity holds within the United Kingdom (e.g., immigration, residency, or authorization category).
-
D.
germanyParticipationStatus
Indicates whether and how Germany is participating in a specified event, activity, or arrangement.
-
E.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
- F. None of above. chosen
Provenance (4 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 5:28 a.m.