Triple
T28851937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mighty Maroon Machine |
E728623
|
entity |
| Predicate | appliedToFormationType |
P86919
|
FINISHED |
| Object | armoured division |
—
|
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: armoured division | Statement: [Mighty Maroon Machine, appliedToFormationType, armoured division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedToFormationType Context triple: [Mighty Maroon Machine, appliedToFormationType, armoured division]
-
A.
appliesToFormationName
Indicates that something (such as a rule, property, or classification) is relevant or applicable specifically to a named geological or structural formation.
-
B.
appliesToFormationNumber
Indicates that something (such as a rule, condition, or attribute) is specifically associated with or relevant to a particular formation number.
-
C.
supportedFormationType
chosen
Indicates the type of formation that an entity is capable of supporting or is designed to work with.
-
D.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
E.
supportedFormation
Indicates that one entity provided assistance, resources, or conditions that enabled the creation or establishment of another entity or structure.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 28, 2026, 6:44 a.m.