Triple
T4403683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M561 Gama Goat |
E93674
|
entity |
| Predicate | designedToOperateIn |
P41907
|
FINISHED |
| Object | rough terrain |
—
|
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: rough terrain | Statement: [M561 Gama Goat, designedToOperateIn, rough terrain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToOperateIn Context triple: [M561 Gama Goat, designedToOperateIn, rough terrain]
-
A.
operatedAmong
Indicates that an entity carried out operations or activities within, or in coordination with, a specified group, set, or collection of other entities.
-
B.
operatesWithin
Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
-
C.
operateIn
chosen
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
-
D.
operatesOver
Indicates that one entity performs actions or exerts functional control across, upon, or throughout another entity or domain.
-
E.
operatesInEcosystem
Indicates that an entity functions, behaves, or carries out its activities within a particular ecosystem or environmental context.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:28 p.m.