Triple
T25236900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M3 Bradley Cavalry Fighting Vehicle |
E632362
|
entity |
| Predicate | distinctionFromM2 |
P158306
|
FINISHED |
| Object | optimized for scout and cavalry roles |
—
|
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: optimized for scout and cavalry roles | Statement: [M3 Bradley Cavalry Fighting Vehicle, distinctionFromM2, optimized for scout and cavalry roles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromM2 Context triple: [M3 Bradley Cavalry Fighting Vehicle, distinctionFromM2, optimized for scout and cavalry roles]
-
A.
distinctionFromM2
chosen
Indicates that one entity is explicitly distinguished from another, emphasizing that they are not the same or should be treated as separate.
-
B.
distinctionFromOtherCategories
Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
-
C.
isDistinctFrom
Indicates that two entities are not identical and can be clearly distinguished from one another.
-
D.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
E.
distinctionFormulatedBy
Indicates that a particular conceptual or categorical distinction was defined, articulated, or formally introduced by a specific agent or source.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfb2c9c8190b34148512dd535c8 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:07 p.m.