Triple
T12731289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 33rd Infantry Division |
E304241
|
entity |
| Predicate | divisionSize |
P106613
|
FINISHED |
| Object | 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: Division | Statement: [33rd Infantry Division, divisionSize, Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionSize Context triple: [33rd Infantry Division, divisionSize, Division]
-
A.
divisionFrequency
Indicates how often a division event occurs within a given context or time frame.
-
B.
divisionRenamedFrom
Indicates that a division currently known by one name was previously known by another specified name.
-
C.
distributionSize
Indicates the quantity or scale of items or units included in a particular distribution.
-
D.
divisionSince
Indicates that one entity has been divided or split from another starting at a specific point in time.
-
E.
shareSize
Indicates that two or more entities possess or are allocated the same quantity, dimension, or magnitude of something.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:25 p.m.