Triple
T28438347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMP |
E715633
|
entity |
| Predicate | overallDesignGoal |
P164726
|
FINISHED |
| Object | cost-effective 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: cost-effective production | Statement: [UMP, overallDesignGoal, cost-effective production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallDesignGoal Context triple: [UMP, overallDesignGoal, cost-effective production]
-
A.
exhibitDesignGoal
Indicates that something embodies or demonstrates a particular design objective or intended design outcome.
-
B.
urbanDesignGoal
Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
-
C.
benefitDesignGoal
Indicates that something contributes positively toward achieving a particular design goal.
-
D.
reasonForDesign
Indicates that one entity serves as the explanation, motivation, or justification for why another entity was designed or created in a particular way.
-
E.
appliesToDesignGoal
Indicates that something (such as a method, rule, or constraint) is relevant or intended to be used for achieving a particular design goal.
- F. None of above. chosen
Provenance (4 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_69efd6b44550819094ae991b553d9fc3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:44 a.m.