Triple
T32740161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COMTRAN |
E837196
|
entity |
| Predicate | hasInfluencedFeatureIn |
P152735
|
FINISHED |
| Object | COBOL data division |
—
|
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: COBOL data division | Statement: [COMTRAN, hasInfluencedFeatureIn, COBOL data division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInfluencedFeatureIn Context triple: [COMTRAN, hasInfluencedFeatureIn, COBOL data division]
-
A.
hasPossibleInfluence
Indicates that one entity may have an effect on, contribute to, or shape the state, behavior, or outcome of another entity, without asserting that this influence is definite or direct.
-
B.
featuresInfluence
Indicates that certain features or characteristics have an effect on or contribute to changes in other features, outcomes, or behaviors.
-
C.
hasSubsequentInfluence
Indicates that one entity has an influence or effect that occurs after, and is causally or temporally downstream from, another entity or event.
-
D.
influencedIn
chosen
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
E.
hasAdditionalInfluence
Indicates that one entity exerts extra or supplementary influence on another entity beyond any primary or baseline effect.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffa5f31c8881908c26e2aa52df6ece |
completed | May 9, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69ffa42aee408190ad1a5f285688b338 |
completed | May 9, 2026, 9:16 p.m. |
Created at: May 1, 2026, 1:12 a.m.