Triple
T36960525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaingun |
E914294
|
entity |
| Predicate | balanceTradeoff |
P28908
|
FINISHED |
| Object | High ammo consumption |
—
|
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: High ammo consumption | Statement: [Chaingun, balanceTradeoff, High ammo consumption]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balanceTradeoff Context triple: [Chaingun, balanceTradeoff, High ammo consumption]
-
A.
hasTradeoff
chosen
Indicates that one option or outcome involves a compromise in which gaining certain benefits requires accepting corresponding costs or disadvantages.
-
B.
balancedAuthorityBetween
Indicates that decision-making power or control is distributed equally or fairly among the involved entities.
-
C.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
-
D.
compromiseBetween
Indicates a relationship in which two or more parties mutually adjust their positions or demands to reach a middle-ground agreement.
-
E.
balanceControl
Indicates the extent to which one entity regulates, maintains, or stabilizes the equilibrium or proportional distribution of another entity or system.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:13 p.m.