Triple
T28208341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Way Ahead |
E717089
|
entity |
| Predicate | featuresUnitType |
P22894
|
FINISHED |
| Object | infantry platoon |
—
|
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: infantry platoon | Statement: [The Way Ahead, featuresUnitType, infantry platoon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUnitType Context triple: [The Way Ahead, featuresUnitType, infantry platoon]
-
A.
featuredUnitType
chosen
Indicates that a particular unit type is highlighted or given special prominence relative to other unit types.
-
B.
typicalUnitType
Indicates that one entity is the standard or commonly used unit type associated with measuring or expressing the other entity.
-
C.
hostsUnitType
Indicates that one entity serves as a location or platform that accommodates or contains a specified type of unit.
-
D.
typeOfUnitStructure
Indicates that one unit is classified as having a particular structural type or organizational form.
-
E.
unitTypes
Indicates that there is a relationship specifying the types or categories of units associated with an entity.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: April 27, 2026, 10:37 p.m.