Triple
T26698236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MEU |
E673082
|
entity |
| Predicate | typicalGroundElementSize |
P198412
|
FINISHED |
| Object | reinforced infantry battalion |
—
|
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: reinforced infantry battalion | Statement: [MEU, typicalGroundElementSize, reinforced infantry battalion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGroundElementSize Context triple: [MEU, typicalGroundElementSize, reinforced infantry battalion]
-
A.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
B.
typicalUnitSize
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
-
C.
typicalDomainDimension
Indicates that a dimension is a standard or characteristic measurement typically associated with a given domain or context.
-
D.
typicalHeight
Indicates the usual or characteristic height associated with an entity, such as a person, object, or species.
-
E.
typicalStructuralElement
Indicates that one entity is a standard or characteristic structural component commonly found within or forming part of another entity.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
| PDg | Predicate description generation | batch_69fee25c7c548190a2c6e50074a33da4 |
completed | May 9, 2026, 7:29 a.m. |
Created at: April 27, 2026, 3:30 a.m.