Triple
T3232794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21 Signal Regiment |
E67780
|
entity |
| Predicate | hasSubUnitType |
P7150
|
FINISHED |
| Object | squadron |
—
|
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: squadron | Statement: [21 Signal Regiment, hasSubUnitType, squadron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubUnitType Context triple: [21 Signal Regiment, hasSubUnitType, squadron]
-
A.
hasSubunitName
Indicates that an entity includes or is associated with a named subunit or component as part of its structure or organization.
-
B.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
-
C.
hasTypeOfSubdivision
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
-
D.
subunitType
chosen
Indicates that one entity is a specific kind or classification of subunit within the structure or composition of another entity.
-
E.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaedb718c8190aae12f763033713a |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.