Triple
T34883303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engineering and Manufacturing Development phase |
E1006069
|
entity |
| Predicate | supportsDecision |
P200642
|
FINISHED |
| Object | Low-Rate Initial Production |
—
|
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: Low-Rate Initial Production | Statement: [Engineering and Manufacturing Development phase, supportsDecision, Low-Rate Initial Production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDecision Context triple: [Engineering and Manufacturing Development phase, supportsDecision, Low-Rate Initial Production]
-
A.
supportsDecisionOf
Indicates that one entity endorses, backs, or agrees with the decision made by another entity.
-
B.
supportsDecisionAPI
Indicates that one entity provides or enables a decision-making API service for another entity.
-
C.
supportsDecisionMakingFor
chosen
Indicates that one entity provides information, tools, or assistance that helps another entity make decisions.
-
D.
sponsorDecision
Indicates that an entity makes or has made a formal decision in its role as a sponsor regarding another entity or activity.
-
E.
supportsConclusionOf
Indicates that one entity provides justification, evidence, or reasoning that backs up or helps establish the conclusion represented by another entity.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.