Triple
T15882406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doña Ana Range |
E385103
|
entity |
| Predicate | supportsUnitTraining |
P42205
|
FINISHED |
| Object | armored units |
—
|
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: armored units | Statement: [Doña Ana Range, supportsUnitTraining, armored units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUnitTraining Context triple: [Doña Ana Range, supportsUnitTraining, armored units]
-
A.
supportedUnit
Indicates that one entity provides assistance, resources, or backing to another entity functioning as a unit or sub-organization.
-
B.
supportUnits
Indicates that one entity provides assistance, resources, or reinforcement to another entity, often in an operational or functional context.
-
C.
supportsBrigade
Indicates that one entity provides assistance, resources, or backing to a brigade in carrying out its functions or operations.
-
D.
trainingSupport
chosen
Indicates that one entity provides assistance, resources, or facilitation to help another entity conduct or participate in training activities.
-
E.
isCombatSupportUnit
Indicates that the unit’s primary role is to provide operational or logistical support to combat forces rather than engage directly in frontline fighting.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.