Triple
T3232807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 21 Signal Regiment |
E67780
|
entity |
| Predicate | belongsToForceType |
P47491
|
FINISHED |
| Object | combat support |
—
|
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: combat support | Statement: [21 Signal Regiment, belongsToForceType, combat support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToForceType Context triple: [21 Signal Regiment, belongsToForceType, combat support]
-
A.
belongsToInteraction
Indicates that one entity is part of, or associated as a component within, a specific interaction event or process.
-
B.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
belongTo
Indicates that one entity is a member, part, or property of another entity, signifying ownership, inclusion, or association.
-
E.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
- 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_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. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:08 p.m.