Triple
T30386013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XO-1 |
E772957
|
entity |
| Predicate | costDesignGoal |
P115145
|
FINISHED |
| Object | 100 US dollars |
—
|
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: 100 US dollars | Statement: [XO-1, costDesignGoal, 100 US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costDesignGoal Context triple: [XO-1, costDesignGoal, 100 US dollars]
-
A.
overallDesignGoal
Indicates that one entity specifies or represents the primary design objective or guiding design intent for another entity.
-
B.
benefitDesignGoal
Indicates that something contributes positively toward achieving a particular design goal.
-
C.
costModel
Indicates the pricing or cost-structure relationship applied to an entity, defining how its costs are calculated or charged.
-
D.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
E.
economicCost
chosen
Indicates the financial burden, expense, or resource expenditure associated with an action, event, or relationship between entities.
- 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_69f2248ef0a48190aa54d4d8ac3e5758 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6851e482881908316e652c410e0ab |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:01 p.m.